202 research outputs found

    The Combined Application Technology of the Bank's TwoDimensional Aggregate Payment Code and the Vegetable Field Traceability System

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    With the rapid development of social economy, people's living standards and quality of life are getting better and better, and food safety is getting more and more attention. Aiming at the problem of vegetable traceability, this paper analyzes the bank's QR code scan code aggregation payment model. Secondly, it designs a green food traceability system and elaborates the realization of the main functions of the system. Practice has proved that the traceability system of green food can allow consumers to consume with confidence, and at the same time, it is convenient for the competent government departments to trace the source in time and control the quality

    Equilibrium characterization and incentives in large games

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    Master'sMASTER OF SCIENC

    Characterizing Pure-strategy Equilibria in Large Games

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    In this paper, we consider a generalized large game model where the agent space is divided into countable subgroups and each player's payoff depends on her own action and the action distribution in each of the subgroups. Given the countability assumption on its action or payoff space or the Loeb assumption on its agent space, we show that that a given distribution is an equilibrium distribution if and only if for any (Borel) subset of actions the proportion of players in each group playing this subset of actions is no larger than the proportion of players in that group having a best response in this subset. Furthermore, we also present a counterexample showing that this characterization result does not hold for a more general setting

    Ultrafast dynamics of fractional particles in α\alpha-RuCl3_3

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    In a Kitaev spin liquid, electron spins can break into fractional particles known as Majorana fermions and Z2_2 fluxes. Recent experiments have indicated the existence of such fractional particles in a two-dimensional Kitaev material candidate, α\alpha-RuCl3_3. These exotic particles can be used in topological quantum computations when braided within their lifetimes. However, the lifetimes of these particles, critical for applications in topological quantum computing, have not been reported. Here we study ultrafast dynamics of photoinduced excitations in single crystals of α\alpha-RuCl3_3 using pump-probe transient grating spectroscopy. We observe intriguing photoexcited nonequilibrium states in the Kitaev paramagnetic regime between TNT_N~7 K and THT_H~100 K, where TNT_N is the N\'eel temperature and THT_H is set by the Kitaev interaction. Two distinct lifetimes are detected: a longer lifetime of ~50 ps, independent of temperature; a shorter lifetime of 1-20 ps, with a strong temperature dependence, T1.40T^{-1.40}. We analyze the transient grating signals using coupled differential equations and propose that the long and short lifetimes are associated with fractional particles in the Kitaev paramagnetic regime, Z2_2 fluxes and Majorana fermions, respectively

    Expression levels of TTF-1 and CyclinD1 and their relationship with lymphangiogenesis in ovarian cancer

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    Objective To investigate the expression levels of thyroid transcription factor-1 (TTF-1) and CyclinD1 in ovarian cancer and analyze their relationship with lymphangiogenesis. Methods The ovarian cancer tissue samples were collected from 60 patients with ovarian cancer and corresponding ovarian tissue samples from 20 patients pathologically diagnosed with benign ovarian tumors and normal ovarian tissue were collected as the control group. Tissue sections were prepared for immunohistochemical staining of TTF-1, CyclinD1 and D2-40. The staining results of TTF-1 and CyclinD1 were evaluated based on semi-quantitative integration method. D2-40 staining results were assessed according to Weidner evaluation method. Lymphatic vessel density (LVD) was calculated. Results The positive expression rates of TTF-1 and CyclinD1 were 58% and 83% in the ovarian cancer tissues, which were higher than 5% and 10% in the normal cancer tissues(all P < 0.001), respectively. The positive expression rates of TTF-1 and CyclinD1 were significantly increased in the ovarian cancer tissues with pathological stageⅢ-Ⅳ, lymph node metastasis, peritoneal metastasis, T3-T4 stage, N1 stage and M1 stage (all P < 0.05). Age and histological type were not correlated with the positive expression rates of TTF-1 and CyclinD1 (all P > 0.05). The LVD of ovarian cancer tissues with pathological stageⅢ-Ⅳ, lymph node metastasis and peritoneal metastasis was significantly increased (all P < 0.05). The LVD of ovarian cancer tissues with positive expression of TTF-1 and CyclinD1 was significantly higher than that of ovarian cancer tissues with negative expression (both P < 0.05). Conclusions TTF-1 and CyclinD1 are highly expressed in ovarian cancer tissues. Patients with severe ovarian cancer, lymphangiogenesis and metastasis have high expression of TTF-1 and CyclinD1, which may be potential new targets for ovarian cancer interventions

    Spin Coherence and Spin Relaxation in Hybrid Organic-Inorganic Lead and Mixed Lead-Tin Perovskites

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    Metal halide perovskites make up a promising class of materials for semiconductor spintronics. Here we report a systematic investigation of coherent spin precession, spin dephasing and spin relaxation of electrons and holes in two hybrid organic-inorganic perovskites MA0.3FA0.7PbI3 and MA0.3FA0.7Pb0.5Sn0.5I3 using time-resolved Faraday rotation spectroscopy. With applied in-plane magnetic fields, we observe robust Larmor spin precession of electrons and holes that persists for hundreds of picoseconds. The spin dephasing and relaxation processes are likely to be sensitive to the defect levels. Temperature-dependent measurements give further insights into the spin relaxation channels. The extracted electron Land\'e g-factors (3.75 and 4.36) are the biggest among the reported values in inorganic or hybrid perovskites. Both the electron and hole g-factors shift dramatically with temperature, which we propose to originate from thermal lattice vibration effects on the band structure. These results lay the foundation for further design and use of lead- and tin-based perovskites for spintronic applications

    A Sphingosine Kinase Form 2 Knockout Sensitizes Mouse Myocardium to Ischemia/Reoxygenation Injury and Diminishes Responsiveness to Ischemic Preconditioning

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    Sphingosine kinase (SphK) exhibits two isoforms, SphK1 and SphK2. Both forms catalyze the synthesis of sphingosine 1-phosphate (S1P), a sphingolipid involved in ischemic preconditioning (IPC). Since the ratio of SphK1 : SphK2 changes dramatically with aging, it is important to assess the role of SphK2 in IR injury and IPC. Langendorff mouse hearts were subjected to IR (30 min equilibration, 50 min global ischemia, and 40 min reperfusion). IPC consisted of 2 min of ischemia and 2 min of reperfusion for two cycles. At baseline, there were no differences in left ventricular developed pressure (LVDP), ± dP/dtmax, and heart rate between SphK2 null (KO) and wild-type (WT) hearts. In KO hearts, SphK2 activity was undetectable, and SphK1 activity was unchanged compared to WT. Total SphK activity was reduced by 53%. SphK2 KO hearts subjected to IR exhibited significantly more cardiac damage (37 ± 1% infarct size) compared with WT (28 ± 1% infarct size); postischemic recovery of LVDP was lower in KO hearts. IPC exerted cardioprotection in WT hearts. The protective effect of IPC against IR was diminished in KO hearts which had much higher infarction sizes (35 ± 2%) compared to the IPC/IR group in control hearts (12 ± 1%). Western analysis revealed that KO hearts had substantial levels of phosphorylated p38 which could predispose the heart to IR injury. Thus, deletion of the SphK2 gene sensitizes the myocardium to IR injury and diminishes the protective effect of IPC

    DisAsymNet:Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning

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    Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) when abnormalities are developing. It is widely utilized by radiologists for diagnosis. The question of “what the symmetrical Bi-MG would look like when the asymmetrical abnormalities have been removed ?” has not yet received strong attention in the development of algorithms on mammograms. Addressing this question could provide valuable insights into mammographic anatomy and aid in diagnostic interpretation. Hence, we propose a novel framework, DisAsymNet, which utilizes asymmetrical abnormality transformer guided self-adversarial learning for disentangling abnormalities and symmetric Bi-MG. At the same time, our proposed method is partially guided by randomly synthesized abnormalities. We conduct experiments on three public and one in-house dataset, and demonstrate that our method outperforms existing methods in abnormality classification, segmentation, and localization tasks. Additionally, reconstructed normal mammograms can provide insights toward better interpretable visual cues for clinical diagnosis. The code will be accessible to the public.</p

    Analysis of the genetic relationships and diversity among 11 populations of Xanthoceras sorbifolia using phenotypic and microsatellite marker data

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    Background: Assessments of genetic diversity are essential for germplasm characterization and exploitation. Molecular markers are valuable tools for exploring genetic variation and identifying germplasm. They play key roles in a Xanthoceras sorbifolia breeding program. Results: We analyzed the genetic diversity of populations of this species using 23 simple sequence repeat (SSR) loci and data on kernel oil content. The 11 populations included in the study were distributed across a large geographic range in China. The kernel oil content differed significantly among populations. The SSR marker analysis detected high genetic diversity among the populations. All SSRs were polymorphic, and we identified 80 alleles across the populations. The number of alleles at each locus ranged from two to six, averaging 3.48 per primer pair. The polymorphism information content values ranged from 0.35 to 0.70, averaging 0.51. Expected heterozygosity, observed heterozygosity, and Shannon's information index calculations detected large genetic variations among populations of different provenance. The high average number of alleles per locus and the allelic diversity observed in the set of genotypes analyzed indicated that the genetic base of this species was relatively wide. The statistically significant positive correlation between genetic and geographic distances suggested adaptations to local conditions. Conclusions: Microsatellite markers can be used to efficiently distinguish X. sorbifolia populations and assess their genetic diversity. The information we have provided will contribute to the conservation and management of this important plant genetic resource
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