The assessment of tumour response to treatment

Summary.  A parsimonious model for treated tumours is developed as a continuation of our previous work on regrowth curve theory. The statistical model belongs to the family of marginal non-linear models since the only linear parameters of the model are tumour specific and random facilitating parameter estimation. An important feature of the model is that it enables the estimation of the fraction of cancer cells surviving the treatment in vivo having easy-to-obtain longitudinal measurements of tumour volume. We compare several methods of estimation, including Lindstrom–Bates, iterated reweighted least squares and maximum likelihood. The last two methods are computed via the total estimating equations approach and variance least squares. The theory is illustrated with a photodynamic tumour therapy example.     

An Empirical Approach to Supervision and Training of Relationship Therapists

This paper presents an empirical approach to supervision and training of marriage and family therapists. Advantages from the use of the empirical approach include a systematic investigation of the skills and competencies of the therapist and establishing the basis for the scientific study of supervision. A Counseling Problems Worksheet is presented to help in developing multiple hypothesis related to counselor skill deficiencies. Two case studies are given to demonstrate the use of the empirical approach .     

Women,Karate, and Gender Typing*

When women have the physical ability to overcome men, a major basis of cognitive categorization is violated and dissonance created. Two dissonance-resolving mechanisms take place-derision and denial. A study of women trained in Karate¹ provided an opportunity to examine these dissonance-reducing mechanisms. Results from fieldwork and questionnaires administered to both participants in Karate and a sample of students reveal that dissonace created by women's skills is most often resolved by denying skill. rather than by denigration of the woman's self. Field observations suggest that a psychology of tokenism operates; men discount women's achievement presumably gained by satisfying gender-independent criteria.     

A Recursive Formula for the Probability of Occurrence of at Least m out of N Events

A recursive same-sign relation is derived that reduces the probability of occurrence of at least m out of N independent events to the probability of occurrence of at least m out of N ? 1 of these N events.     

Meta-cognition and resistance to political persuasion: evidence from a three-wave panel study

ABSTRACT

We investigate the temporal course of meta-cognition and resistance processes following exposure to counter-attitudinal information in the 2012 Presidential election. Using a unique 3-wave survey panel design, we tracked eligible voters during the last months of the 2012 campaign and experimentally manipulated exposure to negative political messages targeting Barack Obama and Mitt Romney on an online platform. As predicted, we found that politically unengaged (vs. engaged) individuals were less likely to counter-argue a message attacking their favored candidate. Resistance, in turn, led to increased attitudinal certainty, polarization, and correspondence with actual voting behavior over the course of the campaign. These findings provide the first analysis of the longitudinal effects of meta-cognitive processes underlying persuasion for real-world attitude change and behavior.     

Evaluating and Visualizing the Economic Impact of Commercial Districts Due to an Electric Power Network Disruption

Critical infrastructure networks enable social behavior, economic productivity, and the way of life of communities. Disruptions to these cyber–physical–social networks highlight their importance. Recent disruptions caused by natural phenomena, including Hurricanes Harvey and Irma in 2017, have particularly demonstrated the importance of functioning electric power networks. Assessing the economic impact (EI) of electricity outages after a service disruption is a challenging task, particularly when interruption costs vary by the type of electric power use (e.g., residential, commercial, industrial). In contrast with most of the literature, this work proposes an approach to spatially evaluate EIs of disruptions to particular components of the electric power network, thus enabling resilience‐based preparedness planning from economic and community perspectives. Our contribution is a mix‐method approach that combines EI evaluation, component importance analysis, and GIS visualization for decision making. We integrate geographic information systems and an economic evaluation of sporadic electric power outages to provide a tool to assist with prioritizing restoration of power in commercial areas that have the largest impact. By making use of public data describing commercial market value, gross domestic product, and electric area distribution, this article proposes a method to evaluate the EI experienced by commercial districts. A geospatial visualization is presented to observe and compare the areas that are more vulnerable in terms of EI based on the areas covered by each distribution substation. Additionally, a heat map is developed to observe the behavior of disrupted substations to determine the important component exhibiting the highest EI. The proposed resilience analytics approach is applied to analyze outages of substations in the boroughs of New York City.