635 research outputs found
A computationally efficient simulation method for optimizing front contacts of concentrator multijunction solar cells
In this work, a novel multidiode model is proposed for optimizing the front grid of multijunction solar cells operating under concentration conditions. The model allows for quickly exploring the maximum achievable efficiency under a wide range of operating conditions and design parameters such as the redirecting capability, period and width of the fingers, the light concentration, and the metal and emitter sheet resistivity. The proposed multidiode model shows to be consistent with experimental data and with more complex modeling approaches such as the simulation program with integrated circuit emphasis (SPICE) model
Dean\u27s Leadership Style and Its Relationship to Department Chairpersons\u27 Job Satisfaction
The purpose of this study was to examine the types of leadership styles of allied health deans in academic health centers and the relationship of the perceived leadership styles to department chairpersons’ job satisfaction. A correlational research design was utilized. A Kruskal-Wallis test indicated a significant difference in department chairpersons’ satisfaction scores as a function of deans’ leadership style (X2 = 62.4, DF = 3, P = .001). A pair wise Wilcoxon Rank Sum test was performed on all combinations of satisfaction scores by leadership style. The results indicated that when department chairpersons perceived that their deans possessed a management style with high consideration behavior as one component, they derived more satisfaction on the job. A high task/high consideration management style was associated with significantly higher satisfaction levels for chairpersons when compared to all other styles
A computationally efficient multi-diode model for optimizing the front grid layout of multijunction solar cells under concentration
Clinical applications of next generation sequencing in cancer: From panels, to exomes, to genomes
This article will review recent impact of massively parallel next-generation sequencing (NGS) in our understanding and treatment of cancer. While whole exome sequencing (WES) remains popular and effective as a method of genetically profiling different cancers, advances in sequencing technology has enabled an increasing number of whole-genome based studies. Clinically, NGS has been used or is being developed for genetic screening, diagnostics, and clinical assessment. Though challenges remain, clinicians are in the early stages of using genetic data to make treatment decisions for cancer patients. As the integration of NGS in the study and treatment of cancer continues to mature, we believe that the field of cancer genomics will need to move towards more complete 100% genome sequencing. Current technologies and methods are largely limited to coding regions of the genome. A number of recent studies have demonstrated that mutations in non-coding regions may have direct tumorigenic effects or lead to genetic instability. Non-coding regions represent an important frontier in cancer genomics
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