1,093 research outputs found

    Secure Communication Based on Hyperchaotic Chen System with Time-Delay

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    This research is partially supported by National Natural Science Foundation of China (61172070, 60804040), Fok Ying Tong Education Foundation Young Teacher Foundation(111065), Innovative Research Team of Shaanxi Province(2013KCT-04), The Key Basic Research Fund of Shaanxi Province (2016ZDJC-01), Chao Bai was supported by Excellent Ph.D. research fund (310-252071603) at XAUT.Peer reviewedPostprin

    Renormalization-group improved predictions for Higgs boson production at large pTp_T

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    We study the next-to-next-to-leading logarithmic order resummation for the large pTp_T Higgs boson production at the LHC in the framework of soft-collinear effective theory. We find that the resummation effects reduce the scale uncertainty significantly and decrease the QCD NLO results by about 11%11\% in the large pTp_T region. The finite top quark mass effects and the effects of the NNLO singular terms are also discussed.Comment: 31 pages, 17 figures, version published in Phys.Rev.

    Influence of superplasticizer on the rheology of fresh cement asphalt paste

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    AbstractCement asphalt (CA) paste is an organic–inorganic composite material of cement and asphalt emulsion. Its complicated rheological behavior affects its site application in high speed railway. Superplasticizers (SPs) are usually used to improve the construction properties of fresh CA mortar. However, the principle of SPs acting on the rheology of CA paste is seldom studied. In this paper, the effects of polycarboxylate (PCA) and naphthalenesulfonate (PNS) on the rheological properties of CA pastes, asphalt emulsions (both anionic and cationic) and cement pastes were studied, respectively from the viewpoint of adsorption and zeta potential. Centrifugation method was used to determine the adsorption of asphalt onto cement particle, electroacoustic method was employed to study the zeta potential of cement particles of concentrated paste, and optical microscopy was used to observe the dispersion of particles. The results suggest that both PCA and PNS can decrease the yield stress and apparent viscosity of CA pastes. The effect of SPs on the rheology of CA paste can be explained by two reasons. First, PNS can adsorb on both asphalt and cement surface, change the zeta potential and then decrease their yield stress and viscosity, while PCA only adsorb on cement surface. Second, the competitive adsorption of SPs and asphalt prevents asphalt from adsorbing on cement surface and then more asphalt droplets are released into aqueous solution, thereby enhancing the particle dispersion

    Effect of home nutrition support and nursing intervention on patients with enteral nutrition

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    目的  探讨居家营养支持护理干预对预防家庭肠内营养支持患者并发症发生和提高护理工作满意度的效果。方法  以在我院实行家庭肠内营养支持治疗与规范化护理模式的213例患者作为观察组;在南京市某三甲医院进行家庭肠内营养支持治疗及传统护理模式的185例患者作为对照组,比较两组患者6个月后的并发症发生率及对护理工作的满意度。结果  观察组患者在导管堵塞和腹泻发生率方面明显低于对照组(P<0.01),对护理工作满意度明显高于对照组,且差异有统计学意义(97% vs.74%,P<0.01)。结论  规范化的护理干预可有效降低家庭肠内营养支持患者并发症的发生率,改善患者预后,并提高患者对护理工作的满意度。Objective:To investigate the effect of home nutrition support nursing intervention on prevention of complications and improve the satisfaction degree of nursing in patients with enteral nutrition support. Methods: 213 cases in our hospital implementation of home enteral nutrition support nursing treatment and standardized patients as the observation group; 185 cases of home enteral nutrition support therapy and the traditional nursing mode of patients from Nanjing hospital as control group. The incidence of complications and nursing satisfaction were compared between the two groups after 6 months. Results: The incidence of catheter blockage and diarrhea in the observation group was significantly lower than the control group (P <0.01), the degree of satisfaction was significantly higher than the control group, and the difference was statistically significant (97% vs.74%, P<0.01). Conclusion: Standardized nursing intervention can effectively reduce the incidence of complications in patients with enteral nutrition support, improve the prognosis of patients, and improve the patient’s satisfaction with nursing work

    Self-adaptation of chimera states

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    This work was partially supported by the National Natural Science Foundation of China (Grants No. 11647052 and No. 61431012), by the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 17JK0553), by the Young Talent fund of University Association for Science and Technology in Shaanxi, China (Program No. 20170606), and by the Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2018JQ1010). Z.-G.H acknowledges support of K. C. Wong Education Foundation. Y.-C.L is supported by ONR under Grant No. N00014-16-1-2828.Peer reviewedPublisher PD

    Density-driven higher-order topological phase transitions in amorphous solids

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    Amorphous topological states, which are independent of the specific spatial distribution of microscopic constructions, have gained much attention. Recently, higher-order topological insulators, which are a new class of topological phases of matter, have been proposed in amorphous systems. Here, we propose a density-driven higher-order topological phase transition in a two-dimensional amorphous system. We demonstrate that the amorphous system hosts a topological trivial phase at low density. With an increase in the density of lattice sites, the topological trivial phase converts to a higher-order topological phase characterized by a quantized quadrupole moment and the existence of topological corner states. Furthermore, we confirm that the density-driven higher-order topological phase transition is size dependent. In addition, our results should be general and equally applicable to three-dimensional amorphous systems. Our findings may greatly enrich the study of higher-order topological states in amorphous systems

    Retinal nerve fiber layer thickness measured by optical coherence tomography in Chinese teenagers aged from 13 years old to 18 years old

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    AIM: To establish a reference range of retinal nerve fiber layer(RNFL)thickness by optical coherence tomography(OCT)in Chinese teenagers aged from 13 to 18 years old, and investigate its relationship with age, eye side, gender, and ethnic group.<p>METHODS: A total of 402 eyes from 201 normal Chinese aged from 13 to 18 years old were recruited for this study. Optic disk with 3.4mm diameter circle in different global average, quadrant and part-time bit retinal nerve fiber layer thickness(RNFLT)was measured by RNFL thickness average analysis program. Their RNFLT at different part-time bit, quadrant and global average RNFLT around the disc were measured by OCT with 3.4mm diameter circle, using the RNFL thickness average analysis program. The data was analyzed with SPSS statistical 19.0. The influences of several factors(such as age, eye side, gender, and ethnic group)on RNFLT were also analyzed.<p>RESULTS: The global average RNFLT at 13, 14, 15, 16, 17, 18 years old was 108.32±9.42μm, 109.23±9.67μm, 110.36±11.14μm, 111.27±10.21μm, 109.23±9.67μm, 112.11±8.83μm respectively. RNFLT of right eyes was 109.82±8.93μm and of left eyes was 110.33±9.89μm. All of the male's average RNFLT was 110.14±10.02μm, and all of the female's average RNFLT was 109.96±11.22μm. The average RNFLT of Han nationality was 110.22±9.31μm and of non-Han nationality was 109.87±8.65μm. The average RNFLT of all was 110.02±9.87μm, the RNFLT at the superior, nasal, inferior and temporal quadrant was 146.56 ±18.88μm, 76.49±13.28μm, 136.64±16.29μm, 82.01±12.55μm respectively. There was no significant difference in gender, eye side, and ethnic group(all <i>P</i><0.05), but the difference was significant compared with adult's data of the database. <p>CONCLUSION: This study has established a normal standard reference of RNFLT and its related indexes by OCT in Chinese teenagers aged 13-18 years old. Gender, age, eye side, and ethnic group have no effect on their RNFLT, which has significant difference with adult's data. And for the diagnosis and follow-up of diseases involving in RNFL changes, the adult's data can not be used

    Refined mapping of loss of heterozygosity in Chinese sporadic gastric carcinoma

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    The aim of this study is to explore precise deleted regions where the candidate tumor suppressor genes might be located in Chinese sporadic gastric carcinoma. By searching in Genothon, NCBI and GDB databases, 145 polymorphic microsatellite markers were chosen, at a mean density of approximately one marker every 2 - 4 cM, covering 15 chromosomes. These polymorphic microsatellite markers in gastric carcinoma and adjacent tissue were analyzed via PCR. PCR products were submitted to electrophoresis on an ABI 3730 DNA sequencer. Genemapper3.2 software was used for LOH (Loss of Heterozygosity) scanning and analysis. Comparison between LOH frequency and clinicopathological factors was performed by Fisher’s exact test. 26 refined regions were mapped as candidate regions for TSGs (Tumor suppression genes) in Chinese sporadic gastric cancer. Associations between LOH and clinical information indicated that 6 loci was associated with pTNM stage, 5 with Lauren's type, 4 with lymph nodes metastasis and another 2 with distant metastasis. Through refined deletion mapping, 26 candidate regions, where TSGs may be located, were found and 17 loci were proposed to be used as clinical markers in Chinese sporadic gastric cancer.Keywords: Gastric carcinoma, refined mapping, loss of heterozygosity (LOH), tumor suppressor genes (TSGs), tumor markersAfrican Journal of Biotechnology Vol. 9(35), pp. 5754-5761, 30 August, 201

    Revisiting Acceptability Judgements

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    In this work, we revisit linguistic acceptability in the context of large language models. We introduce CoLAC - Corpus of Linguistic Acceptability in Chinese, the first large-scale acceptability dataset for a non-Indo-European language. It is verified by native speakers and is the first acceptability dataset that comes with two sets of labels: a linguist label and a crowd label. Our experiments show that even the largest InstructGPT model performs only at chance level on CoLAC, while ChatGPT's performance (48.30 MCC) is also much below supervised models (59.03 MCC) and human (65.11 MCC). Through cross-lingual transfer experiments and fine-grained linguistic analysis, we provide detailed analysis of the model predictions and demonstrate for the first time that knowledge of linguistic acceptability can be transferred across typologically distinct languages, as well as be traced back to pre-training. Our dataset is publicly available at \url{https://github.com/huhailinguist/CoLAC}
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