capacity measurement
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Public health emergency coping capacity has been an important direction in crisis research in recent years. The use of the public health emergency coping capacity scale to evaluate the public’s response and feelings regarding public health emergencies is one of the essential ways to improve the effectiveness of public health emergency response. Based on literature research, this paper constructed the theoretical dimension of public health emergency coping ability and completed the development of the items of the initial scale in China. After using SPSS 22.0-conducted exploratory factor analysis, confirmatory factor analysis, and reliability test, the scale dimensions and items were deleted and optimized. The final public health emergency coping capacity measurement scale in China included 12 items and four dimensions. The results showed that the developed scale has high reliability and validity, which is helpful for the relevant personnel to understand the level of public health emergency coping ability and provides an essential basis for timely and accurate emergency prevention and control interventions.

Low productivity can be affected by several conditions like machine downtime, operator performance, inefficient capacity planning, etc. The most effective way to find out the solution to this problem is to calculate machine utilization. The purpose of this research is to optimize Rapid Granulator machines in the injection molding area by using Day in the Life Of (DILO) observation, Overall Equipment Effectiveness (OEE), and capacity measurement. The research will analyze the suitable calculation metric to measure Rapid Granulator machines utilization by comparing machine capacity, planned run time, planned preventive maintenance, and the number of machines needed. In the last two years, the expected efficiency rate is always increasing up to 95% with the average of PT. MT Indonesia utilization rate of 85%. However, there are no standards or unified way to measure a machine’s utilization rate and due to the huge variety of machinery not all of them have the calculation metrics. Further observation shows that Rapid Granulator machines that located in the Injection Molding area of PT. MT Indonesia has never been calculated and the low utilization rate can be seen after a quick time study. A sample of 16 machines is measured with only 23% of utilization rate in one shift operation time. The result then shows that the improvement activities to reduce the number of machines from 105 to 24 will increase the utilization rate up to 87% with the OEE score increasing from 1.8% to 39%. Thus, PT. MT Indonesia can minimize cost as expected in the cost calculation and optimize Rapid Granulator machines usage.

Abstract We synthesize Weyl semimetal/superconductor NbP/NbSe2 composite and observe stable bulk superconductivity at Tc = 7.2 K, 6.9 K, and 6.8 K for NbSe2 crystal, NbP/NbSe2 (1:1), and NbP/NbSe2 (2:1) composites, respectively, despite large volume fraction of non-superconducting NbP phase. From the Ginzburg-Landau theory, the Hc2(0) is significantly enhanced in NbP/NbSe2 composites [22 T (1:1) and 18.5 T (2:1)] comparing with the pristine NbSe2 crystal (8 T). The bulk superconductivity in Weyl semimetal/superconductor composite cannot be simply described by the de Gennes-Meissner theory in a proximity effect. From the electrical transport, magnetization, and heat capacity measurement, we obtain various superconducting parameters. The superconducting properties indicate that the NbP/NbSe2 composite is far from the conventional BCS superconductivity. It suggests that the Weyl semimetal/superconductor composite can have giant proximity effect, resulting in the stable bulk superconductivity in a composite with sizable volume fraction of non-superconducting Weyl semimetals. The giant proximity effect in Weyl semimetal/superconductor interface can have a platform to investigate the proximity induced Weyl semimetallic superconducting states.

AbstractClose to process measuring improves the data quality of a condition monitoring process. A possibility to access such measurements comes with the addition of a sensory function in machine elements. For a systematic development of sensing machine elements, an approach is presented for the identification of possible measurands to determine a variable of interest. Based on a modelling of physical causeeffect- relationships by using an effect matrix and an effect catalogue it allows to consider both direct and indirect measurements for the determination of measurands in technical systems.The presented approach is initially applied to develop a sensory solution for self-lubricated fibrecomposite sliding bearings. The aim is to measure a variable of interest that can give a conclusion about the estimated remaining useful lifetime. The development process is described and possible solutions for measurement concepts are presented. The electrical capacity measurement, evaluated as the most promising concept, is described in detail and experimental results are presented.These results show the applicability of the sensory concept and therefore, the benefits of the presented approach.