1,505 research outputs found

    IR-improved Soft-wall AdS/QCD Model for Baryons

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    We construct an infrared-improved soft-wall AdS/QCD model for baryons by considering the infrared-modified 5D conformal mass and Yukawa coupling of the bulk baryon field. The model is also built by taking into account the parity-doublet pattern for the excited baryons. When taking the bulk vacuum structure of the meson field to be the one obtained consistently in the infrared-improved soft-wall AdS/QCD model for mesons, we arrive at a consistent prediction for the baryon mass spectrum in even and odd parity. The prediction shows a remarkable agreement with the experimental data. We also perform a calculation for the ρ(a1)\rho(a_1) meson-nucleon coupling constant and obtain a consistent result in comparison with the experimental data and many other models.Comment: 12 pages, 4 tables, 1 figure, to be published in PL

    An efficient combined deep neural network based malware detection framework in 5G environment

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    While Android smartphones are widely used in 5G networks, third-party application platforms are facing a rapid increase in the screening of applications for market launch. However, on the one hand, due to the receipt of excessive applications for listing, the review requires a lot of time and computing resources. On the other hand, due to the multi-selectivity of Android application features, it is difficult to determine the best feature combination as a criterion for distinguishing benign and malicious software. To address these challenges, this paper proposes an efficient malware detection framework based on deep neural network called DLAMD that can face large-scale samples. An efficient detection framework is designed, which combines the pre-detection phase of rapid detection and the deep detection phase of deep detection. The Android application package (APK) is analyzed in detail, and the permissions and opcodes feature that can distinguish benign from malicious are quickly extracted from the APK. Besides, to obtain the feature subset that can distinguish the attributes most, the random forest with good effect is selected for importance selection and the convolutional neural network (CNN) which automatically extracted the hidden pattern inside features is selected for feature selection. In the experiment, real data from shared malware collection and third-party application download platforms are used to verify the high efficiency of the proposed method. The results show that the comprehensive classification index F1-score of DLAMD can reach 95.69%

    Field aging declines the regulatory effects of biochar on cadmium uptake by pepper in the soil

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    Biochar application is not only being widely promoted as an ideal strategy to mitigate global climate warming, but it also has the advantage of reducing heavy metal bioavailability and migration in the soil. However, studies on the effects of field aging on biochar to reduce heavy metals from the soil are still limited. The present study aimed to explore the effects and mechanisms of aged biochar added to the soil planted with pepper plants on cadmium (Cd) uptake. To achieve this, un-amended soil (control), soil amended with fresh biochar, and aged biochar (biochar recovered from a long-term field trial after 9 years) were used to investigate the effects of field aging on biochar adsorption efficiency. The results revealed that the amount of Cd in the plant planted in control soil, amended with fresh and aged biochar, accounted for 40 ± 6.10, 17.18 ± 1.19, and 18.68 ± 0.79, respectively. There was a significant difference (P < 0.05) in the amount of Cd that was uptaken by plants among all treatments. However, soil amended with fresh biochar significantly (P < 0.05) decreased the amount of Cd in plants compared with soil amended with aged biochar. This indicates that field aging declines the potential of biochar to lower heavy metal bioavailability and retention in the soil. This study demonstrates that long-term burial lessens the ability of biochar to interact with Cd and suggests that biochar amendment can lower Cd in the soil, depending on the freshness and aging of biochar

    (7R,8S,9S,12S)-1-(4-Chloro­benz­yloxy)-13,14-didehydro-12-hy­droxy-2,13-dimeth­oxy-N-methyl­morphinane

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    The title compound, C26H30ClNO4, a sinomenine derivative, has five six-membered rings, two of which are aromatic, with a dihedral angle of 34.13 (20)° between these. The N-containing ring and the fourth ring exhibit chair conformations, while the fifth ring approximates an envelope conformation. A single inter­molecular O—H⋯N hydrogen-bonding inter­action gives a one-dimensional chain structure which extends along the a axis. The absolute configuration for the mol­ecule has been determined

    Dual Activities of ACC Synthase: Novel Clues Regarding the Molecular Evolution of Acs Genes

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    Ethylene plays profound roles in plant development. The rate-limiting enzyme of ethylene biosynthesis is 1-aminocyclopropane-1-carboxylate (ACC) synthase (ACS), which is generally believed to be a single-activity enzyme evolving from aspartate aminotransferases. Here, we demonstrate that, in addition to catalyzing the conversion of S-adenosyl-methionine to the ethylene precursor ACC, genuine ACSs widely have Cβ-S lyase activity. Two N-terminal motifs, including a glutamine residue, are essential for conferring ACS activity to ACS-like proteins. Motif and activity analyses of ACS-like proteins from plants at different evolutionary stages suggest that the ACC-dependent pathway is uniquely developed in seed plants. A putative catalytic mechanism for the dual activities of ACSs is proposed on the basis of the crystal structure and biochemical data. These findings not only expand our current understanding of ACS functions but also provide novel insights into the evolutionary origin of ACS genes

    Clinical Investigations of CAR-T Cell Therapy for Solid Tumors

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    Cell therapy is a distinguished targeted immunotherapy with great potential to treat solid tumors in the new era of cancer treatment. Cell therapy products include genetically engineered cell products and non-genetically engineered cell products. Several recent cell therapies, especially chimeric antigen receptor (CAR)-T cell therapies, have been approved as novel treatment strategies for cancer. Many clinical trials on cell therapies, in the form of cell therapy alone or in combination with other treatments, in solid tumors, have been conducted or ongoing. However, there are still challenges since adverse events and the limited efficacy of cell therapies have also been observed. Here, we concisely summarize the clinical milestones of the conducted and ongoing clinical trials of cell therapy, introduce the evolution of CARs, discuss the challenges and limitations of these therapeutic modalities taking CAR-T as the main focus, and analyze the disparities in the regulatory policies in different countries

    Angiopoietin-like 4 (ANGPTL4) Suppression Ameliorates Lupus Nephritis in MRL/lpr Mice by Inactivating NLRP3 Inflammasome and Inhibiting Inflammatory Response

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    Background: Lupus nephritis (LN) refers to the injury caused by systemic lupus erythematosus (SLE) involving the kidneys. A previous study identified angiopoietin-like protein 4 (ANGPTL4) as a novel urinary biomarker for tracking disease activity in LN.Objective: To investigate the detailed role and regulatory mechanism of ANGPTL4 in experimental models of LN.Methods: MRL/lpr mice 11-week-old were injected with adeno-associated virus (AAV)-mediated ANGPTL4 short hairpin RNA (shRNA). At 16 and 20 weeks of age, 24-h urine samples were harvested to measure proteinuria levels. After the mice were sacrificed, blood and kidney tissues were harvested to examine serum creatinine (cr) and blood urea nitrogen (BUN) levels, kidney histological changes, and pro-inflammatory cytokine production. Additionally, the levels of NLRP3 inflammasome-associated molecules in mouse renal tissues were detected to clarify the underlying mechanism.Results: The AAV-sh-ANGPTL4 injection significantly reduced the proteinuria, cr, and BUN levels in MRL/lpr mice. ANGPTL4 silencing ameliorated glomerular, tubular, and interstitial damage in mice, mitigating the pathological alternations of LN. In addition, ANGPTL4 knockdown repressed pro-inflammatory cytokine production in the kidneys. Mechanically, ANGPTL4 suppression inhibited NLRP3 inflammasome expression in renal tissues of mice.Conclusion: ANGPTL4 silencing inhibits the NLRP3 inflammasome-mediated inflammatory response, thereby ameliorating LN in MRL/lpr mice
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