Valuing Compromise for the Common Good

Pursuing the common good in a pluralist democracy is not possible without making compromises. Yet the spirit of compromise is in short supply in contemporary American politics. The permanent campaign has made compromise more difficult to achieve, as the uncompromising mindset suitable for campaigning has come to dominate the task of governing. To begin to make compromise more feasible and the common good more attainable, we need to appreciate the distinctive value of compromise and recognize the misconceptions that stand in its way. A common mistake is to assume that compromise requires finding the common ground on which all can agree. That undermines more realistic efforts to seek classic compromises, in which each party gains by sacrificing something valuable to the other, and together they serve the common good by improving upon the status quo. Institutional reforms are desirable, but they, too, cannot get off the ground without the support of leaders and citizens who learn how and when to adopt a compromising mindset

22. 栃木県上都賀地区における無菌性髄膜炎,特にその不全型といわれる「夏カゼ」について(第65回日本小児科学会千葉地方会総会 第446回千葉医学会例会)

RNA-seq data overview. (XLS 7 kb

A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays

Fault diagnosis of photovoltaic (PV) arrays plays a significant role in safe and reliable operation of PV systems. In this paper, the distribution of the PV systems’ daily operating data under different operating conditions is analyzed. The results show that the data distribution features significant nonspherical clustering, the cluster center has a relatively large distance from any points with a higher local density, and the cluster number cannot be predetermined. Based on these features, a density peak-based clustering approach is then proposed to automatically cluster the PV data. And then, a set of labeled data with various conditions are employed to compute the minimum distance vector between each cluster and the reference data. According to the distance vector, the clusters can be identified and categorized into various conditions and/or faults. Simulation results demonstrate the feasibility of the proposed method in the diagnosis of certain faults occurring in a PV array. Moreover, a 1.8 kW grid-connected PV system with 6×3 PV array is established and experimentally tested to investigate the performance of the developed method

学会抄録

Tissue Composition. (XLS 6 kb