PRICE TRANSMISSION, THRESHOLD BEHAVIOR, AND ASYMMETRIC ADJUSTMENT IN THE U.S. PORK SECTOR

The US pork sector has experienced many significant structural changes in recent years. Such changes may have influenced price dynamics and transmission of shocks through marketing channels. We investigate linkages among farm, wholesale, and retail markets using weekly price data for the period covering 1987 through 1998. Our analysis uses a threshold cointegration model that permits asymmetric adjustment to positive and negative price shocks. Our results reveal important asymmetries. Our results are consistent with existing literature which has determined that price adjustment patterns are unidirectional and that information tends to flow from farm, to wholesale, to retail markets.asymmetric price transmission, vertical price transmission, error correction, thresholds, pork markets, Demand and Price Analysis, Livestock Production/Industries,

PLACE, IDENTITY, AND LANGUAGE LEARNING: THE TRANSFORMATIVE ROLE OF PLACE-BASED ENGLISH LANGUAGE INSTRUCTION

This study examines the intersections of place and second language learning. Learner identity has been found to be an important construct in second language learning. In recent years, place and space have become central topics in the study of sociolinguistics and identity. One area of place and language that has not been studied in depth, however, is whether place plays a role in second language learning. This study begins to fill this gap by examining the second language learning experiences of thirteen Japanese study abroad students who were enrolled in an eight-week, content-based language course. The content of the course focused on the history and culture of the city in which the course was offered, Memphis, Tennessee. This study demonstrates that the students formed place attachments to the city, that these attachments led to identity shifts, and that the students identity shifts affected their language behavior, identities, and future trajectories. Thirteen Japanese university students between the ages of 18 and 19 took part in the study. Data collection included interviews with students taking the class in 2016 and course alumni from 2012 2015, their social media posts, class blog posts, classwork, and their photographs of Memphis served as the sources of data for this multi-modal study. The participant-provided photographs were also used as an interview elicitation tool. Findings from this study contribute to an understanding of the complexities of place, identity, and language learning. Whereas prior work has pointed to the social capital that can be gained through investment in a second language, this study suggests that investment in place can also lead to gains in social capital. The study also shows that when language learners engage with the history and culture of a place such as Memphis, where racial violence has played such a significant role, that place factors into their future trajectories. Specifically, the participants constructed good language learner and global citizen identities. These findings reveal the power of a place-based curriculum that offers language learners the experience of a fuller spectrum of place and thereby facilitates the difficult work involved in constructing and orienting identity

An Exposure of an Unfortunate Man

https://digitalcommons.acu.edu/crs_books/1347/thumbnail.jp

Building a Robust Commercial Microgravity Economy in Earth's Orbit: Economic Readiness Considerations

The reduced gravity environment of space provides a unique opportunity to further our understanding of various materials phenomena involving the molten, fluidic and gaseous states as well as life science applications where, contrary to earlier beliefs, microgravity induces changes in single cells and simple organisms; not only in large organisms with a complex overall response to gravity (or lack thereof). The potential breadth of commercial opportunities in microgravity thus spans over many verticals of the private sector with applications ranging from fiber optics, high-resolution crystals, microencapsulation, 3D organs to perfume and color dyes. Overall, products manufactured in microgravity hold the promise to have key properties surpassing their best terrestrial counterparts. Commercialization, also known as taking a new technology to market, is a journey in itself where the business, economic, market and technological components must align to generate a successful outcome. A business perspective is very different than technology maturation. In order for a technology to be ready for commercialization, it must not only be mature, but it must also have a compelling business case, and the means to scale up production must be identified and practical. Creating a robust economy in Earths orbit (Fig 1) is especially challenging because of the complexity (high risks, lack of standardization) involved in predicting future growth. This complexity can easily overwhelm the fact that many of the products have an attractive touch of space which aids with branding and marketing.This paper reviews the types of added value that can be extracted from space, with an emphasis on the microgravity environment. In addition, lessons learned from past commercialization efforts will be reviewed. While past efforts have yielded some point successes, they have as a whole failed to precipitate a sustainable LEO based marke

Proposing a New Algorithm for Premanipulative Testing in Physical Therapy Practice

In the field of physical therapy, there is debate as to the clinical utility of premanipulative vascular assessments. Cervical artery dysfunction (CAD) risk assessment involves a multi-system approach to differentiate between spontaneous versus mechanical events. The purposes of this inductive analysis of the literature are to discuss the link between cervical spine manipulation (CSM) and CAD, to examine the literature on premanipulative vascular tests, and to suggest an optimal sequence of premanipulative testing based on the differentiation of a spontaneous versus mechanical vascular event. Knowing what premanipulative vascular tests assess and the associated clinical application facilitates an evidence-informed decision for clinical application of vascular assessment before CSM

Predictive and Prescriptive Analytics for Multi-Site Modeling of Frail and Elderly Patient Services

Recent research has highlighted the potential of linking predictive and prescriptive analytics. However, it remains widely unexplored how both paradigms could benefit from one another to address today's major challenges in healthcare. One of these is smarter planning of resource capacities for frail and elderly inpatient wards, addressing the societal challenge of an aging population. Frail and elderly patients typically suffer from multimorbidity and require more care while receiving medical treatment. The aim of this research is to assess how various predictive and prescriptive analytical methods, both individually and in tandem, contribute to addressing the operational challenges within an area of healthcare that is growing in demand. Clinical and demographic patient attributes are gathered from more than 165,000 patient records and used to explain and predict length of stay. To that extent, we employ Classification and Regression Trees (CART) analysis to establish this relationship. On the prescriptive side, deterministic and two-stage stochastic programs are developed to determine how to optimally plan for beds and ward staff with the objective to minimize cost. Furthermore, the two analytical methodologies are linked by generating demand for the prescriptive models using the CART groupings. The results show the linked methodologies provided different but similar results compared to using averages and in doing so, captured a more realistic real-world variation in the patient length of stay. Our research reveals that healthcare managers should consider using predictive and prescriptive models to make more informed decisions. By combining predictive and prescriptive analytics, healthcare managers can move away from relying on averages and incorporate the unique characteristics of their patients to create more robust planning decisions, mitigating risks caused by variations in demand