Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions

We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of geometrical congruence in the impressions, the degree of correspondence is quantified using ideas from graph theory and maximum clique (MC). The algorithm uses the x and y coordinates of the edges in the images as the data. We focus on local areas in Q and the corresponding regions in K and extract features for comparison. Using pairs of images with known origin, we train a random forest to classify pairs into mates and non-mates. We collected impressions from 60 pairs of shoes of the same brand and model, worn over six months. Using a different set of very similar shoes, we evaluated the performance of the algorithm in terms of the accuracy with which it correctly classified images into source classes. Using classification error rates and ROC curves, we compare the proposed method to other algorithms in the literature and show that for these data, our method shows good classification performance relative to other methods. The algorithm can be implemented with the R package shoeprintr.     

EVERY DROP COUNTS: A WATER CONSERVATION EXPERIMENT WITH HOTEL GUESTS

We implement a field experiment with hotel guests to measure the effects of nonprice interventions on water conservation and customer satisfaction. In hotels, guests have no direct pecuniary incentive to conserve water, as consumers do at home, where they pay their own water bills. Because hotels earn greater profits when they manage to convince guests to conserve, guests may be suspicious of a hotel's stated social goal of water conservation. By implementing behavioral interventions that address these challenges, we find that our nudges can induce guests to reduce their water consumption, even when no direct monetary incentive is provided. Using post‐stay customer surveys, we detected no adverse effects on customer satisfaction due to these nudges. (JEL D12, I31, Q41, Q50)     

Career Assessment and Counseling for STEM: A Critical Review

Career counselors must continually enhance their knowledge and skills to assist clients contemplating careers in science, technology, engineering, and mathematics (STEM). Therefore, the authors review STEM disciplines and theory‐driven strategies for assisting diverse individuals to explore, enter, and persist in STEM careers. Appropriate use of career assessments can contribute greatly to this effort. To identify available measures for STEM‐focused domains and constructs, the authors conducted a journal content analysis of stand‐alone STEM‐related career assessments from 1983 to 2016, identifying 39 articles with 153 measures. Notable results included the emergence of social cognitive theory and social cognitive career theory as prevailing frameworks for instrument development, a wide variety of disciplines and journals represented, an underrepresentation of minority samples, and untapped potential for cross‐discipline and researcher–practitioner collaboration. Useful strategies and resources for counselors and recommendations for enhancing career assessments and interventions are addressed.     

Exploring the generation gap in the workplace in South Korea

This study reviewed current literature on generational issues in Korea, specifically in relation to the workplace. Based on the results, this study concluded that distinct generations of workers exist in Korea. While there are similar generational characteristics between Korea and the United States because of the unique societal, historical, and cultural factors in each country, there are noticeable differences such as the existence of Generation 386 in Korea. Due to rapid industrialization and social transformation during the past few decades, Korean society seems to exhibit wider gaps between older and younger generations than the United States. The roles of Generation 386 and Generation Y in organizations should be considered for the future.     

Family Roles as Moderators of the Relationship Between Schedule Flexibility and Stress

Employer initiatives that address the spillover of work strain onto family life include flexible work schedules. This study explored the mediating role of negative work–family spillover in the relationship between schedule flexibility and employee stress and the moderating roles of gender, family workload, and single‐parent status. Data were drawn from the 2008 National Study of the Changing Workforce, a nationally representative sample of working adults (N = 2,769). The results indicated that schedule flexibility was associated with less employee stress and that these associations were mediated by perceptions of negative work–family spillover. This study found the moderating relationships of gender, family workload, and single parenting in the relationships between schedule flexibility and negative work–family spillover and stress. Schedule flexibility had stronger relationships in reducing negative work–family spillover and stress among women, single parents, and employees with heavier family workloads. The findings provide empirical support for intervention efforts involving schedule flexibility to reduce workplace stress among employees with family responsibilities.     

Influence of Temporal Distance on the Perceived Importance of Career‐Related Self‐Efficacy and Outcome Expectations

Because all career choices are about future actions, time is an important contextual variable in social cognitive career choice ( Hesketh, 2000 ). However, there is a dearth of research examining the effect of time. The authors examined how temporal distance to career entry influences the perceived importance of self‐efficacy and outcome expectations concerning a career pursuit. They also examined the moderating effects of perceived support and barriers, as well as country. The participants were college students in the United States (n= 180) and in South Korea (n= 215). The results of hierarchical regression analyses did not show main effects of time, but a 3‐way interaction indicated the complex interplay of time and other contextual variables. Implications for career counseling and future research are discussed.     

Using the Constructs Multifinality,Work Hope,and Possible Selves With Urban Minority Youth

This article describes and highlights the potential contributions that the constructs multifinality, work hope, and possible selves make for designing career counseling interventions and for better understanding possible career‐related factors associated with academic engagement and achievement among urban minority youth. Multifinality may serve as a superordinate orientation because it conceptualizes development as discontinuous and relatively plastic, allowing for youth deemed at risk to follow more hopeful pathways. Work hope and possible selves emphasize the utility of providing urban minority youth with space to answer questions related to what they might achieve and do in the future and who they might become. Together, multifinality, work hope, and possible selves provide a hopeful conceptual framework for career researchers and practitioners.     

Evaluating the Efficiency of Governmental Excellence for Social Progress: Focusing on Low- and Lower-Middle-Income Countries

Social Indicators Research - As the “weak-institutions trap” is increasingly recognized as the major hindrance to growth, the advantages offered by e-government may provide an...     

Regularization through variable selection and conditional MLE with application to classification in high dimensions

It is often the case that high-dimensional data consist of only a few informative components. Standard statistical modeling and estimation in such a situation is prone to inaccuracies due to overfitting, unless regularization methods are practiced. In the context of classification, we propose a class of regularization methods through shrinkage estimators. The shrinkage is based on variable selection coupled with conditional maximum likelihood. Using Stein's unbiased estimator of the risk, we derive an estimator for the optimal shrinkage method within a certain class. A comparison of the optimal shrinkage methods in a classification context, with the optimal shrinkage method when estimating a mean vector under a squared loss, is given. The latter problem is extensively studied, but it seems that the results of those studies are not completely relevant for classification. We demonstrate and examine our method on simulated data and compare it to feature annealed independence rule and Fisher's rule.     

Community-Based Services and Depression from Person-Environment Fit Perspective: Focusing on Functional Impairments and Living Alone

ABSTRACT

Guided by the Person-Environment Fit perspective, we investigated the extent to which personal and environmental factors influence depression among community-dwelling adults. The data came from the special section about community-based service utilization in the 2012 Health and Retirement Study (N=1,710). Although community-based service was not significantly associated with depression after controlling for covariates, respondents with functional limitations and living alone were less likely to be depressed when using community-based services. This study demonstrates the different associations between community-based services and depression depending on personal needs. It discusses the importance of community-based services for aging-in-place policy, particularly among vulnerable populations.