Aligning Employees Through \u3ci\u3eLine of Sight\u3c/i\u3e

Aligning employees with the firm’s larger strategic goals is critical if organizations hope to manage their human capital effectively and ultimately attain strategic success. An important component of attaining and sustaining this alignment is whether employees have “line of sight” to the organization’s strategic objectives. We illustrate how the translation of strategic goals into tangible results requires that employees not only understand the organization’s strategy, they must accurately understand what actions are aligned with realizing that strategy. Using recent empirical evidence, theoretical insights, and tangible examples of exemplary firm practices, we provide thought-leaders with a comprehensive view of LOS, how it is created, how it can be enhanced or stifled, and how it can be effectively managed. We integrate LOS with current thinking on employee alignment to help managers more effectively benefit from understanding human capital potential

To Determin Whether or Not Significant Change in Spirituality Occurred in Persons Who Attended a Kubler-Ross Life, Death, and Transition Workshop During the Period June 1977 through February 1979

The Problem. The problem was to determine whether or not significant change in spirituality occurred in people who attended a Life, Death, and Transition workshop during the period June 1977 through February 1979. Procedures. To measure change in spirituality, an instrument, the Spirituality Change Survey, was designed and tested. The instrument, which contained seven open-ended items and eleven semantic differential items, was determined to have moderately high internal reliability, 0.759, based on Coefficient Alpha. Two forms of the instrument were used, Eighty-seven participants from two workshops responded to a pretest- posttest mode, while 157 participants from eleven additional workshops responded to a mailed version. The open-ended items asked respondents to subjectively evaluate their perception of change in attitudes toward death, life, spirituality, themselves, others, values, and the workshop. They were then requested to indicate on each of eleven scales a numerical perception of their relative position, both prior to, and after, the workshop. A jury of five qualified judges converted the open-ended responses into numerical values based on the degree of change indicated, The data were then analyzed based on frequency distribution, shift in central tendency, and one way analysis of variance based on each demographic variable available. Findings. It was determined that significant positive change did occur in persons attending the workshops. This was best illustrated by the total responses to open-ended items, with 1322 of 1613, or approximately 82 percent, being positive. No correlation between the time interval since attendance and response to the survey was found. A possible correlation between poor health and the degree of positive change in spirituality reported was indicated

Comparison of TCGA and GENIE genomic datasets for the detection of clinically actionable alterations in breast cancer.

Whole exome sequencing (WES), targeted gene panel sequencing and single nucleotide polymorphism (SNP) arrays are increasingly used for the identification of actionable alterations that are critical to cancer care. Here, we compared The Cancer Genome Atlas (TCGA) and the Genomics Evidence Neoplasia Information Exchange (GENIE) breast cancer genomic datasets (array and next generation sequencing (NGS) data) in detecting genomic alterations in clinically relevant genes. We performed an in silico analysis to determine the concordance in the frequencies of actionable mutations and copy number alterations/aberrations (CNAs) in the two most common breast cancer histologies, invasive lobular and invasive ductal carcinoma. We found that targeted sequencing identified a larger number of mutational hotspots and clinically significant amplifications that would have been missed by WES and SNP arrays in many actionable genes such as PIK3CA, EGFR, AKT3, FGFR1, ERBB2, ERBB3 and ESR1. The striking differences between the number of mutational hotspots and CNAs generated from these platforms highlight a number of factors that should be considered in the interpretation of array and NGS-based genomic data for precision medicine. Targeted panel sequencing was preferable to WES to define the full spectrum of somatic mutations present in a tumor

Electrodynamic modeling of strong coupling between a metasurface and intersubband transitions in quantum wells

Strong light-matter coupling has recently been demonstrated in sub-wavelength volumes by coupling engineered optical transitions in semiconductor heterostructures (e.g., quantum wells) to metasurface resonances via near fields. It has also been shown that different resonator shapes may lead to different Rabi splittings, though this has not yet been well explained. In this paper, our aim is to understand the correlation between resonator shape and Rabi splitting, and in particular determine and quantify the physical parameters that affect strong coupling by developing an equivalent circuit network model whose elements describe energy and dissipation. Because of the subwavelength dimension of each metasurface element, we resort to the quasi-static (electrostatic) description of the near-field and hence define an equivalent capacitance associated to each dipolar element of a flat metasurface, and we show that this is also able to accurately model the phenomenology involved in strong coupling between the metasurface and the intersubband transitions in quantum wells. We show that the spectral properties and stored energy of a metasurface/quantum-well system obtained using our model are in good agreement with both full-wave simulation and experimental results. We then analyze metasurfaces made of three different resonator geometries and observe that the magnitude of the Rabi splitting increases with the resonator capacitance in agreement with our theory, providing a phenomenological explanation for the resonator shape dependence of the strong coupling process.Comment: 10 pages, 10 figure

Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform

The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decomposition of non-stationary signals with hightime-frequency resolution but also renders it susceptible to degradation from noise. We show that complementing the HHT with techniques such as zero-phase filtering, kernel density estimation and Fourier analysis allows it to be used effectively to detect and characterize signals with low signal to noise ratio.Comment: submitted to PRD, 10 pages, 9 figures in colo