Who Enrolls in Teen Parent Education Programs? An Emphasis on Personal and Familial Characteristics and Services Received

This study describes personal and familial characteristics of 58 teenage mothers enrolled in Mama Club, a free community-based teen parent education program. It also identifies types of services and support participants received and program elements perceived to be important for attending Mama Club. Most participants were raised single-parent households (55.0 %), reported having mothers who were teenage parents (64.8 %), were impoverished (86.0 %), not enrolled in school (54.5 %), and unemployed (81.8 %). Participants primarily received assistance from Medicaid (86.5 %), Food Stamps (67.3 %), and family members (40.0 %); only 5.5 % received money from their child’s father. Teen parent education programs should educate parenting teenagers about available assistance programs and involve diverse community partners to establish a seamless referral system.     

Social Support,Caregiver Burden,and Life Satisfaction in a Sample of Rural African American and White Caregivers of Older Persons With Dementia

This article reports the findings of a study of African American and White dementia caregivers (n = 141) living in rural areas of Alabama that examined the relations between the participants' receipt of informal social support, and their levels of caregiver burden and life satisfaction. The sample, as a whole, reported high levels of social support with no reported differences in social support by race. Female caregivers reported higher mean scores on 3 of the 4 dimensions of social support than their male counterparts. Two of the 4 dimensions of social support accounted for 32% of the variance of the caregivers' reported level of life satisfaction.     

Information exchange with collision detection on multiple channels

Information exchange is a fundamental communication primitive in radio networks. We study this problem in multi-channel single-hop networks. In particular, given \(k\) pieces of information, initially stored in \(k\) nodes respectively, the task is to broadcast these information pieces to the entire network via a set of \(\mathcal {F}\) channels. We develop efficient distributed algorithms for this task for the scenario where both the identities and the number \(k\) of the initial information holders are unknown to the participating nodes. Assuming nodes with collision detection, we present an efficient randomized algorithm for unrestricted information exchange, where multiple information items can be combined into a single message. The algorithm disseminates all the information items within \(O(\frac{k}{\mathcal {F}}+\mathcal {F}\log ^2n)\) timeslots with high probability. To the best of our knowledge, this is the first algorithm that breaks the \(\varOmega (k)\) lower bound for unrestricted information exchange if only a single channel is available. This result establishes the superiority of multiple channels for the task of unrestricted information exchange. Moreover, for restricted information exchange, where each message can carry only one information item, we devise a randomized algorithm that completes the task in \(O(k+\frac{\log ^2n}{\mathcal {F}}+\log n)\) timeslots. When \(k\) is large, both algorithms are asymptotically optimal, as they can reach the trivial lower bounds of \(\varOmega (\frac{k}{\mathcal {F}})\) and \(\varOmega (k)\) for unrestricted and restricted information exchange, respectively.     

Distributed wireless link scheduling in the SINR model

We present an approximation algorithm for wireless link scheduling under the physical SINR interference model. In the link scheduling problem, it is given a set of \(n\) links in a metric space, each of which is a sender–receiver pair, and the objective is to schedule the links using the minimum amount of time. We focus on a variant of this fundamental problem where the power is fixed, i.e., the power assignment of links is given as part of the input. Specifically, we consider an important category of power assignments called length-monotone sublinear power assignment, which includes the widely studied uniform, mean and linear power assignments. We present a distributed algorithm that can schedule all links in \(O(\log \varDelta (I_{max}+\log ^3n))\) rounds with high probability, where \(\varDelta \) is the ratio between the longest link and the shortest link and \(I_{max}\) is the maximum nearly-equilength class affectance of the link set. It is shown that the proposed algorithm is \(O(\log \varDelta )\) approximate to the optimal schedule in dense networks with \(I_{max}\in \varOmega (\log ^3n)\). To the best of our knowledge, our algorithm is the first distributed one whose approximation ratio is independent of the network size \(n\). Our result also shows that the \(\varOmega (\log n)\) lower bound (Halldórsson and Mitra in: ICALP, 2011) on the approximation ratio does not hold for link sets with \(\log \varDelta \in o(\log n)\).     

A Longitudinal Study of the Leadership Development Process: Individual Differences Predicting Leader Effectiveness

This study tracked the leadership development of236 male cadets from matriculation through graduation ata military college. Cognitive ability, physical fitness,prior influence experiences, and self-esteem measured in Year 1 were relevant to predictingthose who assumed formal leadership positions in Year 4.Physical fitness and prior influence experiencesmeasured when cadets entered the college predicted leader effectiveness rated in their fourthyear. Stress tolerance and moral reasoning levels didnot predict leader emergence or effectiveness, thoughthe set of individual difference measures significantly predicted emergence and effectiveness. Physicalfitness levels and moral reasoning increased over timefor all cadets, though surprisingly, levels ofself-esteem and stress tolerance did not increase over time. Overall the study demonstrated thatleadership effectiveness and emergence could bepredicted from early measures of individualdifferences.     

A Note on Discriminant Analysis Using LAD

Using a regression approach to discriminant analysis is often incorrect because it forces the use of a binary dependent variable which violates virtually any distributional assumption for a linear model. However, assuming a Laplace distribution in an LP framework leads to a theoretical foundation for MSD discriminant analysis.     

Some Analytical Results for a Two-Product Newsboy Problem

A recent Decision Sciences paper considered maximizing the probability of achieving a profit target in a two-product newsboy problem. Numerical solutions to this problem revealed some intriguing properties, but the authors were unable to analytically explain many of their results. This paper presents an analytical solution procedure to this problem for the case of uniformly distributed demands. The analytical structure reveals more intriguing properties and these properties are proven and explained.     

Participatory ergonomics for psychological factors evaluation in work system design

It is a well recognized understanding that workers whose voice needs to be heard should be actively encouraged as full participants and involved in the early design stages of new ergonomic work system which encompass the development and implementation of new tools, workplaces, technologies or organizations. This paper presents a novel participatory strategy to evaluate three key psychological factors which are respectively mental fatigue, spiritual stress, and emotional satisfaction in work system design based on a modified version of Participatory Ergonomics (PE). In specific, it integrates a PE technique with a formulation view by combining the parallel development of PE strategies, frameworks and functions throughout the coverage of the entire work system design process, so as to bridge the gap between qualitative and quantitative analysis of psychological factors which can cause adverse or advantageous effects on worker's physiological and behavioral performance.     

The Effects of Technology Readiness on Customer Perceived Value: An Empirical Analysis

Technology infusion into service procedures has enhanced the rise of self-service technology. Technology-based services help businesses provide more flexibility, efficiency, and variety to customers. Therefore, it increases the customer??s perceived value from the business??s viewpoint. However, technology-based services are usually novel to most customers. As a result, customers who lack sufficient experience with using technology-based services may feel extreme frustration. The purpose of this study was to empirically examine how technology readiness (TR) affects customer perceived value (CPV). Data were collected from consumers who took the high speed rail in Taiwan in June 2009. As expected, optimism and innovativeness had positive impacts on CPV while discomfort and insecurity had negative impacts on CPV. The four TR dimensions all had significant, but not equal, impacts on CPV. Optimism had the highest impact on CPV. TR had no significant impact on emotional value. Social value and security value were significantly and positively affected by TR.