Selectively Controlled Ferromagnets by Electric Fields in van der Waals Ferromagnetic Heterojunctions.

Charge transfer plays a key role at the interfaces of heterostructures, which can affect electronic structures and ultimately the physical properties of the materials. However, charge transfer is difficult to manipulate externally once the interface is formed. The recently discovered van der Waals ferromagnets with atomically sharp interfaces provided a perfect platform for the electrical control of interfacial charge transfer. Here, we report magnetoresistance experiments revealing electrically tunable charge transfer in Fe3GeTe2/Cr2Ge2Te6/Fe3GeTe2 all-magnetic van der Waals heterostructures, which can be exploited to selectively modify the switching fields of the top or bottom Fe3GeTe2 electrodes. The directional charge transfer from metallic Fe3GeTe2 to semiconducting Cr2Ge2Te6 is revealed by first-principles calculations, which remarkably modifies the magnetic anisotropy energy of Fe3GeTe2, leading to the dramatically suppressed coercivity. The electrically selective control of magnetism demonstrated in this study could stimulate the development of spintronic devices based on van der Waals magnets.

Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment.

The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual design solution decision model based on Pythagorean fuzzy sets in a big data environment is proposed. Firstly, we use the ability of big data to mine and analyze information to construct a new standard for product concept design evaluation in the big data environment. Secondly, the Pythagorean fuzzy set (PFS), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are integrated into a decision model. AHP, extended by the Pythagorean fuzzy set, is used to determine the weights of new conceptual design criteria in a big data environment. The Pythagorean fuzzy TOPSIS is used to prioritize alternative conceptual design solutions. The feasibility of the approach is proven with a practical case, the generalizability of the method is confirmed with two descriptive digital cases, and the reliability, validity, and superiority of the process are demonstrated with sensitivity analysis, comparative analysis, and computational complexity analysis.

[Correlation between cervical vertigo and vestibular function evaluated by vestibular evoked myogenic potentials].

OBJECTIVE: To analyze the relationship between cervical vertigo and vestibular function evaluated by vestibular evoked myogenic potentials(VEMPs) and analyze the correlations between cervical vertigo and vestibular dysfunction, discuss the related factors of cervical vertigo and guide the clinical treatment of patients with cervical vertigo. METHODS: A total of 75 patients with cervical vertigo as the main complaint in the outpatient clinic of the Second Hospital of Shanxi Medical University from August 2019 to July 2020 were set as the diseased group, and 60 patients without cervical and vestibular related diseases in the hospital were selected to set as non-diseased group. The age of diseased group was 12 to 70 years with an average of (46.40±10.91) years, including 25 males and 50 females;and the age of non-diseased group was 22 to 60 years with an average of(43.78±7.75) years, including 19 males and 51 females. VEMPs were performed in the two groups. The data of VEMPs were collected and the results were compared and analyzed. The patients with abnormal cervical myogenic vestibular evoked myogenic potential (cVEMP) were divided into light, moderate and severe groups. The correlation between VEMPs and cervical vertigo and its severity were analyzed by statistical method. RESULTS: (1)The severity of cervical vertigo in diseased group:33 cases of mild, 34 cases of moderate, 8 cases of severe; cVEMP examination:62 cases were positive and 13 cases were negative, including 13 cases of mild, 33 cases of moderate, 16 cases of severe. The cVEMP of non-diseased group:4 cases were positive and 56 cases were negative.(2) The level of cVEMP in diseased group was higher than that in non-diseased group (P<0.001). It can be considered that there was a correlation between cervical vertigo and vestibular function.(3)The correlation between the level of cVEMP and the level of cervical vertigo in diseased group was analyzed. The Spearman rank sum test was used, and the correlation coefficient was 0.687, which was statistically significant (P<0.05). And it can be considered that the two indicators have a high degree of correlation. CONCLUSION: It is feasible to evaluate the relationship between cervical vertigo and vestibular function by VEMPs. For patients with cervical vertigo, the higher the severity, the greater the positive rate of VEMPs, which indicates that it has a greater impact on vestibular function. The treatment of patients with cervical vertigo should be the combination of cervical rehabilitation and vestibular function.

Bayesian Evaluation of Incomplete Fission Yields.

Fission product yields are key infrastructure data for nuclear applications in many aspects. It is a challenge both experimentally and theoretically to obtain accurate and complete energy-dependent fission yields. We apply the Bayesian neural network (BNN) approach to learn existing fission yields and predict unknowns with uncertainty quantification. We demonstrated that the BNN is particularly useful for evaluations of fission yields when incomplete experimental data are available. The BNN evaluation results are quite satisfactory on distribution positions and energy dependencies of fission yields.