Automatic starting point selection for function optimization

Traditional (non-stochastic) iterative methods for optimizing functions with multiple optima require a good procedure for selecting starting points. This paper illustrates how the selection of starting points can be made automatically by using a method based upon simulated annealing. We present a hybrid algorithm, possessing the accuracy of traditional routines, whilst incorporating the reliability of annealing methods, and illustrate its performance for a particularly complex practical problem.Now at the Statistical Laboratory, University of Cambridge, 16 Mill Lane, Cambridge, CB2 1SB, UK.     

Patterns of Advanced Manufacturing Technology Utilization and Manufacturing Capabilities

The objectives of this research are first to empirically replicate Advanced Manufacturing Technology (AMT) utilization taxonomies identified in foregoing research, second to investigate the relationship between patterns of AMT utilization and manufacturing capabilities attainment, and third to explore differences in context, and performance across AMT groups. Theories of performance frontiers and capability progression provide the basis for our hypotheses. Data were collected from 224 U.S. manufacturing plants in industries considered to have potential utilizations of AMTs. A cluster analysis of the data yields a solution that closely resembles a previous AMT utilization taxonomy, including four groups labeled, respectively, as Traditionalists, Generalists, High Investors, and Designers. Significant manufacturing capability differences across these four groups indicate that plants that utilize a broader scope of AMTs enjoy a greater breadth of manufacturing capabilities. The implied capability attainment pattern is consistent with cumulative capability theory. However, the results suggest that cost capability is not included in the capability mix when broad‐based AMT utilization is the enabler of capability gains. A post hoc exploration of the AMT groups indicates significant differences in performance across the groups. Collectively, the results extend prior research by providing added insights into the possible rationale and impact of AMT utilization patterns.     

The Third Shift? Gender and Empowerment in a Women’s Ecotourism Cooperative

Ecotourism is lauded as a path toward sustainable development and women’s empowerment in rural areas around the world, but little is known about how gendered expectations shape its processes and outcomes. This paper employs an in-depth qualitative case study of a female-only ecotourism cooperative in rural Mexico to investigate how local gender dynamics influence women’s opportunities to benefit from ecotourism development. Findings show that women’s family and work commitments prevent their ability to devote the resources and energy necessary to make the cooperative successful. In this context, women are first expected to be wives and mothers, and to fulfill the substantial daily expectations associated with those roles. In addition, most women work outside the home. This leaves little time or energy for a “third shift” as ecotourism entrepreneurs running their own cooperative. Women put their own interests and goals on the back burner, because of the demands of the first two shifts. If ecotourism is to empower women, localized gender structures must be understood and addressed. Overlooking these challenges can mean that ecotourism projects, even those specifically aimed at empowering women, may only further burden women and reinforce gender models that perpetuate inequality.     

Relationships between Sales Management Control, Territory Design, Salesforce Performance and Sales Organization Effectiveness

This research evaluates determinants of sales organization effectiveness in a sample of British companies, and contributes to an important new research stream by following recent empirical studies in the USA and Australia. We discuss a model of sales organization effectiveness determined by salesforce outcome performance and behavioural performance, as well as by the use of a behaviour-based control approach. Sales territory design is also considered as a particularly important managerial variable, which has received little analytical attention in the traditional literature, but which appears to be an important influence on the effectiveness of the sales operation. Our exploratory path analytical model suggests that sales territory design has a large effect on sales organization effectiveness both directly, and indirectly through its relationship with salesforce behavioural performance. These findings are somewhat different to those in similar studies in other countries, and suggest some important implications for managers as well as for researchers in this field.     

Screening children with a history of maltreatment for post-traumatic stress disorder in frontline social care organizations: A process evaluation

The use of standardized screening tools to identify trauma exposure and associated symptoms is commonly recommended as a key component in the development of trauma informed services and is seen as integral to facilitating access to evidence-based therapies. However, there is limited evidence in the UK about the factors influencing the adoption of such tools into routine practice in children's social care. This paper presents the findings from a process evaluation of how practitioners implemented a screening tool for post-traumatic stress disorder, anxiety and depression into their day-to-say practice and what worked or did not work during the process. The findings from this study highlight the potential benefits for both young people and practitioners, alongside some of the challenges involved. In particular, practitioners need to see the direct benefit for young people of being assessed. Additionally, practitioners value regular mentoring as they become more proficient in using standardized screening tools.     

Career decision-making,career exploration behaviors,and self-regulated learning

Helping individuals make a career decision is a key aim of career counseling. Determining how to encourage self-regulated learning and behaviors needed to achieve this goal often underlies career interventions. The English version of the Career Exploration Behavior survey (CEB-E) measures activities individuals engage in to learn about career options. The present study explored the psychometric properties of the CEB and its impact on various career outcomes. In the first study (N = 498), a good-fitting second-order factor model with four group-level scales and loadings was retained as the best model. In the second study (N = 143), convergent validity and incremental validity of the CEB dimensions were explored through correlation and regression analyses. The CEB predicted commitment making, metacognitions, and vocational identity. Results suggest the CEB-E is a psychometrically sound assessment of career exploration behaviors with potential utility for theory development, program evaluation, and monitoring client progress.     

Landscape,vegetation characteristics,and group identity in an urban and suburban watershed: why the 60s matter

As highly managed ecosystems, urban areas should reflect the social characteristics of their managers, who are primarily residents. Since landscape features develop over time, we hypothesize that present-day vegetation should also reflect social characteristics of past residents. Using an urban-to-suburban watershed in the Baltimore Metropolitan Region, this paper examines the relationship between demographics, housing characteristics, and lifestyle clusters from 1960 and 2000 with areas of high woody and herbaceous vegetation cover in 1999. We find that 1960 demographics and age of housing are better predictors of high woody or tree coverage in 1999 than demographics and housing characteristics from 2000. Key variables from 1960 are percent in professional occupations (+), percent of pre-WWI housing (−), percent of post-WWII housing (+), and population density (−). Past and present demographic and housing variables are poor predictors of high herbaceous cover in 1999. Lifestyle clusters for 2000 are very good predictors of high herbaceous coverage in 1999, but lifestyle clusters from 1960 and 2000 are poor predictors of high woody vegetation coverage. These findings suggest that herbaceous or grassy areas, typically lawns, are good reflections of contemporary lifestyle characteristics of residents while neighborhoods with heavy tree canopies have largely inherited the preferred landscapes of past residents and communities. Biological growth time scales of trees and woody vegetation means that such vegetation may outlast the original inhabitants who designed, purchased, and planted them. The landscapes we see today are therefore legacies of past consumption patterns.     

Construct Validity of the Emotion Matching Task: Preliminary Evidence for Convergent and Criterion Validity of a New Emotion Knowledge Measure for Young Children

Current emotion knowledge (EK) measures examine only one component of the multifaceted construct. We examined the reliability and the construct validity of a new measure of EK, the emotion matching task (EMT). The EMT consists of four parts which measure the components of receptive EK, expressive EK, emotion situation knowledge, and emotion expression matching. First, we compared the EMT and its parts to two widely used EK measures—the Kusche emotional inventory (KEI) and Denham's affective knowledge test (AKT, 1986) in order to establish convergent validity. The EMT and its four parts were strongly correlated with both measures of EK. Regression analyses revealed moderate to strong predictive validity for EMT. Compared with KEI and AKT, the EMT was a more robust predictor of teacher-rated emotion regulation and parent reported effortful control. Compared with KEI and AKT, the EMT correlated similarly with verbal ability and age.     

Hypothesis group testing for disjoint pairs

Classical group testing (CGT) is a widely applicable biotechnical technique used to identify a small number of distinguished objects from a population when the presence of any one of these distinguished objects among a group of others produces an observable result. This paper discusses a variant of CGT called group testing for disjoint pairs (GTAP). The difference between the two is that in GTDP, the distinguished items are pairs from, not individual objects in, the population. There are several biological examples of when this abstract model applies. One biological example is DNA hybridization. The presence of pairs of hybridized DNA strands can be detected in a pool of DNA strands. Another situation is the detection of binding interactions between prey and bait proteins. This paper gives a random pooling method, similar in spirit to hypothesis testing, which identifies pairs of objects from a population that collectively have an observable function. This method is simply to apply, achieves good results, is amenable to automation and can be easily modified to compensate for testing errors. M.A. Bishop is supported by AFOSR FA8750-06-C-0007. A.J. Macula is supported by NSF-0436298, AFOSR FA8750-06-C-0007.