19 research outputs found

    A numerical study of elastica using constrained optimization methods

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    Master'sMASTER OF ENGINEERIN

    Impact of Child-Friendly Campus Landscaping on Learning and Social Behavior

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    This paper mainly explores the research scope of the impact of a child-friendly campus landscape on children's learning and social behavior, adopts a mixed research method combining qualitative and quantitative research, and selects two primary schools with different landscape characteristics in HeZe City, China as research objects and conducts a comparative study on them. The research data obtained by the comparison show that the child-friendly campus environment can stimulate students' interest in learning and promote interpersonal communication among students. However, the child-friendly campus landscape also has certain limitations, which will be further expanded and improved in future studies

    Effect of Fe deficiency on the crystalline structure and magnetic properties of M-type strontium hexaferrite

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    In this study, we prepared a single M-type strontium ferrite phase with different iron contents using the traditional ceramic method and studied the effect of iron deficiency on the crystalline structure and magnetic properties of M-type hexaferrite strontium has been studied. With the decrease in iron content, the saturation magnetization of M-type strontium ferrite SrO·nFe2O3 powders (5.49 ≤ n ≤ 5.95) decreases by 5.5% and 4.7% at 300 K and 5 K, respectively. The change in Fe3+ occupancy was determined using X-ray diffraction spectroscopy. The occupancy of Fe3+ in sublattices 2a, 12k and 4f1 decreased with decreasing Fe content, and the decreased amplitude was in the order 2a > 4f1 > 12k. In addition, the (4f1 site) Fe3-O2-Fe5 (12k site) and (4f1 site) Fe3O2 bond length decreased and increased, respectively, with decreasing Fe content. These results are of great significance for improving the magnetism of SrM by regulating iron vacancies in its structure

    Dzyaloshinsky–Moriya Interaction Induced Anomalous <i>g</i> Behavior of Sr<sub>2</sub>IrO<sub>4</sub> Probed by Electron Spin Resonance

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    Among the 5d transition metal iridates, Sr2IrO4, which has a layered chalcogenide structure, has received much attention due to its strong spin–orbit coupling (SOC), which produces Mott insulating states and anomalous physical behaviors. In this paper, the microscopic magnetism of Sr2IrO4 is studied with electron spin resonance (ESR) measurements. The Lande factor g of the ferromagnetic resonance signal of Sr2IrO4 shows anomalous behavior compared to typical ferromagnets. It gradually decreases, and the corresponding resonance field Hr increases, with decreasing temperature. The various physical parameters. including the saturated magnetic field Hs derived from M-H, Hr, ΔHpp, the g factor and the intensity I extracted from ESR spectra, are analyzed in detail. Eventually, it is revealed that the anomalous behavior of the g-factor is induced by in-plane Dzyaloshinsky–Moriya interaction (DMI) rather than the SOC effect

    Partial splenic embolization has beneficial effects for the management of gastroesophageal variceal hemorrhage

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    Background/Aims: Partial splenic embolization (PSE) is used in the management of gastroesophageal variceal hemorrhage (GEVH). However, it is uncertain whether it has beneficial effects for GEVH patients in preventing variceal recurrence and variceal hemorrhage, as well as promoting overall survival (OS), when it is combined with conventional therapies. Materials and Methods: The databases including PubMed, EMBASE, Web of Science, Google scholar, and Cochrane Central Register of Controlled Trials were searched up to 11th of November, 2015. Meta-analyses were performed by using Review Manager 5.3 software for analyzing the risk of bias, Newcastle-Ottawa Scale for assessing the bias of cohort studies, and GRADEprofiler software for assessing outcomes obtained from the meta-analyses. Results: A total of 1505 articles were reviewed, and 1 randomized controlled trial and 5 cohort studies with 244 participants were eligible for inclusion. The pooled hazard ratio (HR) of variceal recurrence is 0.50 (95% confidence interval (CI) 0.37, 0.68; P< 0.00001; I2 = 0%). The pooled HR of variceal hemorrhage is 0.24 (95% CI 0.15, 0.39; P< 0.00001; I2 = 0%). The pooled HR of OS is 0.50 (95% CI 0.33, 0.67; P< 0.00001; I2 = 0%). Meta-analyses demonstrated statistically significant superiority of combinational therapies over conventional therapies in preventing variceal recurrence and variceal hemorrhage and prolonging OS. The complications related to PSE were mild or moderate and nonfatal. Conclusions: The results indicate that PSE has beneficial effects for GEVH patients, however, future investigation with a larger number of subjects in clinical trials is warranted

    Classification and Prediction of Skyrmion Material Based on Machine Learning

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    The discovery and study of skyrmion materials play an important role in basic frontier physics research and future information technology. The database of 196 materials, including 64 skyrmions, was established and predicted based on machine learning. A variety of intrinsic features are classified to optimize the model, and more than a dozen methods had been used to estimate the existence of skyrmion in magnetic materials, such as support vector machines, k-nearest neighbor, and ensembles of trees. It is found that magnetic materials can be more accurately divided into skyrmion and non-skyrmion classes by using the classification of electronic layer. Note that the rare earths are the key elements affecting the production of skyrmion. The accuracy and reliability of random undersampling bagged trees were 87.5% and 0.89, respectively, which have the potential to build a reliable machine learning model from small data. The existence of skyrmions in LaBaMnO is predicted by the trained model and verified by micromagnetic theory and experiments
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