Processing Youth Adventure Wellness Experiences: Poetic Representations of Youth’s Peace Bus Experiences

This narrative inquiry explored how youth are processing their Peace Bus program experiences two and a half years after program completion. The purpose was to gain an understanding of (1) what program components the participants reflect on, (2) how they conceptualize their program experiences, and (3) what factors contribute to their reflection processes. This research sought to address the gap in literature where little is understood about the ongoing experiences of program participants of adventure wellness programs and the processes that lead to positive changes. As the researcher, I conducted a qualitative study using narrative inquiry and poetic representation methods. For data generation, I used semi-structured one and a half hour interviews with five participants from the Peace Bus, an adventure wellness program that I co-led in 2015. Using the field texts captured from the co-constructed narratives, I crafted poetry to capture the evocative stories told by the participants. How the youth are processing their adventure wellness program experiences can be understood through each distinctive poem alone or through the collection of poems. Adventure wellness program experiences can serve as a platform for continual learning whereby the passage of time and reflection can further enhance self-concept, competencies, emotional and spiritual fulfillment and psychosocial integration. Learning from how the youth process their Peace Bus program experiences, I provide implications for how participants and social work practitioners can better support one’s ongoing growth upon completing an adventure wellness program

Retrieval of interatomic separations of molecules from laser-induced high-order harmonic spectra

We illustrate an iterative method for retrieving the internuclear separations of N$_2$, O$_2$ and CO$_2$ molecules using the high-order harmonics generated from these molecules by intense infrared laser pulses. We show that accurate results can be retrieved with a small set of harmonics and with one or few alignment angles of the molecules. For linear molecules the internuclear separations can also be retrieved from harmonics generated using isotropically distributed molecules. By extracting the transition dipole moment from the high-order harmonic spectra, we further demonstrated that it is preferable to retrieve the interatomic separation iteratively by fitting the extracted dipole moment. Our results show that time-resolved chemical imaging of molecules using infrared laser pulses with femtosecond temporal resolutions is possible.Comment: 14 pages, 9 figure

A Covariate-Adjusted Homogeneity Test with Application to Facial Recognition Accuracy Assessment

Ordinal scores occur commonly in medical imaging studies and in black-box forensic studies \citep{Phillips:2018}. To assess the accuracy of raters in the studies, one needs to estimate the receiver operating characteristic (ROC) curve while accounting for covariates of raters. In this paper, we propose a covariate-adjusted homogeneity test to determine differences in accuracy among multiple rater groups. We derived the theoretical results of the proposed test and conducted extensive simulation studies to evaluate the finite sample performance of the proposed test. Our proposed test is applied to a face recognition study to identify statistically significant differences among five participant groups

Recommendation Systems: A Systematic Review

This article presents a comprehensive and objective systematic review of existing research on recommendation systems with regards to core theory, latest studies, various applications, current attitudes, and potential future applications. The research is mainly based on exploring professional peer-reviewed studies and articles and using their abstracts to create a comprehensive and unbiased review of existing research. The following search terms were used to identify articles and studies for the research: recommendation systems; recommender systems; core theory of recommender systems; current attitudes towards recommendation systems; latest studies on recommendation systems; applications of recommendation systems; potential studies on recommendation systems; and future potential applications of recommendation systems. The research also used the advanced search filter to locate recent studies for comparison by limiting the search by year to find studies published from 2021 onwards. Most literature on this area highlights the importance of recommendation systems in almost all aspects of modern life. Specifically, recommendation systems have become critical components in business, health care, education, marketing, and social networking domains. Additionally, most studies identified reinforcement of learning and deep learning techniques as significant developments in the field. These techniques form the backbone of most modern recommendation systems. The primary concern that could hinder further evolution systems is their consequent filter bubble effects which many studies showed to be problematic. Healthcare is a central area that shows tremendous potential for these systems. Although recommender systems have been implemented in this domain, there remains a lot of untapped potential that, if unleashed, could revolutionize medicine and healthcare. But the problems facing these systems have to be tackled first to establish trust. Keywords: Recommendation systems, Recommender systems, Deep learning, Reinforcement learning DOI: 10.7176/CEIS/13-4-04 Publication date:August 31st 202

VEHICLE DYNAMICS MODELING AND MOTION PLANNING WITH PREDICTABLE TIMING AND VELOCITY

Department of Computer EngineeringIntelligent transportation systems and autonomous vehicles can improve how we drive, save energy and avoid traffic accidents. However, we still need to make more effort on the process of interdisciplinary research to turn these systems into reality. My work, aimed to contribute to this process, consists of two parts. In the first part, I address a longitudinal motion planning problem in which a vehicle aims to arrive at a given position on a road segmented based on various driving conditions at a given time and velocity. I show that it is possible to fully describe the set of all reachable arrival configurations using a table of closed-form equations, under a simplified model of vehicles with linear acceleration. Then I devise a sampling-based algorithm to solve this motion planning problem, using the table to check whether a feasible plan exist. The simulation results showed that the proposed sampling-based algorithmwith heuristics has a higher probability of success than the simple random sampling approach. After that, I will discuss how to use the feasible set on real vehicles. In this part, the task of planning on a segment is executed by using the bisection method, which utilizes the dynamics model of a vehicle. This model, however, is not always available and empirically expensive to obtain. Therefore, in the second part, I focus on the problem of learning a vehicle dynamics model. I introduce an instance-based learning method to learn a performance model automatically, and compare it with the artificial neural network and matrix factorization methods. Furthermore, an exploration strategy called plan-based exploration, based on planning using the reference model is given to speed up the learning process. Our experimental results demonstrated that the instance-based learning method coupled with the plan-based exploration strategy has the fastest learning rate.ope

Morphological characteristics and genetic diversity of <em>Terapon jarbua</em> (Forrskäl, 1775) in Central, Vietnam

Many environmental factors affect the morphology of migratory fish species, such as salinity, water flow rate, and temperature. However, studies on changes in fish morphology under environmental variations from salt water to brackish water are still limited in many fish species, especially in *Terapon jarbua*. This study aims to investigate the differences in the morphological parameters of *T. jarbua* between the coastal sea (seawater) and lagoon (brackish water); and between male and female fish based on a landmark morphological approach. Additionally, the genetic diversity of *T. jarbua* populations in Central Vietnam was elucidated using the mitochondrial DNA cytochrome oxidase subunit I (mtDNA COI) sequence as a molecular marker. The analytical results indicated no sexual dimorphism in the *T. jarbua* population, yet conformational differences exist between the two studied aquatic species. The analysis of 42 mtDNA COI sequences collected from Central Vietnam identified 13 haplotypes with medium genetic diversity and low genetic differentiation between the Tam Giang lagoon and Thua Thien Hue coastal (Fst = 0.028) and not significant (p = 0.126). Most haplotypes obtained are present in reference populations, indicating a high genetic exchange between populations. We proposed that the *T. jarbua* population in Central Vietnam has a stable connection with neighboring populations (China, Taiwan, Philippines, Indonesia, Malaysia, Bangladesh, India, and Pakistan)

A Study of the Strategic Alliance for EMS Industry: The Application of a Hybrid DEA and GM (1, 1) Approach

Choosing a partner is a critical factor for success in international strategic alliances, although criteria for partner selection vary between developed and transitional markets. This study aims to develop effective methods to assist enterprise to measure the firms’ operation efficiency, find out the candidate priority under several different inputs and outputs, and forecast the values of those variables in the future. The methodologies are constructed by the concepts of Data Envelopment Analysis (DEA) and grey model (GM). Realistic data in four consecutive years (2009–2012) a total of 20 companies of the Electronic Manufacturing Service (EMS) industry that went public are completely collected. This paper tries to help target company—DMU1—to find the right alliance partners. By our proposed approach, the results show the priority in the recent years. The research study is hopefully of interest to managers who are in manufacturing industry in general and EMS enterprises in particular