This paper presents a comparative study on SF 6 alternative candidate gases for the surface insulation performance of eco-friendly Gas Insulated Switchers (GIS) and Solid Insulated Switchers (SIS). The candidate gases including N 2 /O 2 mixture gas, dry air, and compressed air were proposed based on AC surface flashover experiment. These gases were compared and examined based on their surface insulation performance, pressure and gap dependence, surface insulation reliability in different temperatures, economic feasibility and easiness of manufacture. The comparison results verified that dry air had excellent properties on the comparison criteria and was the most suitable eco gas among the candidate gases for eco-friendly GIS and SIS. In addition to the comparative study on the candidate gases, their surface flashover characteristics were described in detail based on the effect of moisture contained in the candidate gases on flashover voltage and the correlation among electric field intensity, collision-ionization coefficient, electron attachment coefficient, and gap length.
[Purpose] This study examined how the application of Low-Dye (LD) taping affected the
pain and stability of patients with plantar fasciitis. [Subjects] The subjects were 30
patients with plantar fasciitis who were divided into two groups: a Low-Dye taping group
(LTG, n=15) and a conservative treatment group (CTG, n=15). [Methods] The treatments were
performed three times a week for six weeks in both groups. A visual analog scale (VAS) was
used to evaluate the pain and stability of patients with plantar fasciitis, and the
transfer area of the center of gravity (TAOCOG) was measured to evaluate stability using a
BioRescue device. [Results] In the within-group comparison of the VAS, the LTG and CTG
values significantly decreased. In the post-test between-group comparison, the VAS pain
decreased more significantly in LTG than in CTG. In the within-group comparison of the
TAOCOG, the LTG value significantly increased. In the post-test between-group comparison,
the TAOCOG value increased more significantly than in LTG than in CTG. [Conclusion]
Utilizing Low-Dye taping for patients with plantar fasciitis appears to be an effective
intervention method for reducing pain and enhancing stability.
We consider non-convex stochastic optimization problems where the objective functions have super-linearly growing and discontinuous stochastic gradients. In such a setting, we provide a nonasymptotic analysis for the tamed unadjusted stochastic Langevin algorithm (TUSLA) introduced in Lovas et al. (2021). In particular, we establish non-asymptotic error bounds for the TUSLA algorithm in Wasserstein-1 and Wasserstein-2 distances. The latter result enables us to further derive non-asymptotic estimates for the expected excess risk. To illustrate the applicability of the main results, we consider an example from transfer learning with ReLU neural networks, which represents a key paradigm in machine learning. Numerical experiments are presented for the aforementioned example which supports our theoretical findings. Hence, in this setting, we demonstrate both theoretically and numerically that the TUSLA algorithm can solve the optimization problem involving neural networks with ReLU activation function. Besides, we provide simulation results for synthetic examples where popular algorithms, e.g. ADAM, AMSGrad, RMSProp, and (vanilla) SGD, may fail to find the minimizer of the objective functions due to the super-linear growth and the discontinuity of the corresponding stochastic gradient, while the TUSLA algorithm converges rapidly to the optimal solution.
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