The Lived Experience of a Hispanic Family and Childhood Obesity: A Case Study

ABSTRACTMexican-American children are 1.6 times more likely to be obese than white children (Office of Minority Health, 2012). This qualitative case study of a Hispanic infant explores the feeding practices of one Hispanic family. In a face-to face interview using open-ended questions, a 19 year-old Hispanic mother described her relationship with her child's provider, infant feeding practices used, family influences in care, cultural perceptions of overweight and obesity, and health teaching coordinated by her child's provider. Three themes, based on Watson's Caring Theory, emerged from the data: importance of establishing a meaningful relationship between families and health care providers, cultural influences, and teaching and learning principles. Clinical implications include the importance of establishing a trusting relationship with the patient and family, respecting cultural influences on feeding practices and family involvement in care, and developing individualized teaching plans. It is recommended that future research include a larger sample size

Silk and Society: Silk Manufacturers and Users 1870-1930. Based on a Study of the Haskell Silk Company, Westbrook, Maine

This thesis makes several contributions to the history of American silks. It shows that some of the most exemplary and well known U.S. silks were manufactured by Haskell despite its location at the far periphery of the major Mid Atlantic silk manufacturing region. It traces the changes in the domestic silk product over time and argues that changing consumer tastes and lifestyle exerted a major influence on what was made and sold

“Undue” Delegation: Private Delegation And Other Strategies To Challenge Admitting-Privileges Laws

This Note focuses on admitting-privileges laws, a type of TRAP law that requires physicians who provide abortions to obtain staff privileges at a hospital within a certain distance from their clinics. Without these required privileges, physicians performing abortions risk civil and criminal penalties. These laws are especially concerning because they give area hospitals an effective veto over a clinic’s operations, effectively outsourcing the power to deny licenses to private entities. Admitting-privileges decisions are often discretionary for hospital administrators; a hospital’s denial of admitting privileges also lacks state oversight or external appeals. Admitting-privileges laws are being ratified throughout many states, but have proven resistant to traditional substantive due process challenges. In addition to traditional “undue burden” analysis, a multipronged approach to reproductive rights litigation and advocacy is necessary. Part I of this Note sets forth a brief history of the right to choose an abortion and the current federal legal framework. Then, it details recent state legislative and ballot initiatives aimed at regulating abortion providers. Part II explains the complications of using the “undue burden” doctrine in constitutional challenges to state action, as illuminated by recent cases litigating admitting-privileges laws. It further introduces private-delegation challenges as an alternative method to examine the constitutionality of these laws. Part III looks at the history of private-delegation challenges with respect to admitting-privileges laws and touches on other possible avenues to challenge admitting-privileges regulations

Challenges in Context-Aware Neural Machine Translation

Context-aware neural machine translation involves leveraging information beyond sentence-level context to resolve inter-sentential discourse dependencies and improve document-level translation quality, and has given rise to a number of recent techniques. However, despite well-reasoned intuitions, most context-aware translation models show only modest improvements over sentence-level systems. In this work, we investigate several challenges that impede progress within this field, relating to discourse phenomena, context usage, model architectures, and document-level evaluation. To address these problems, we propose a more realistic setting for document-level translation, called paragraph-to-paragraph (para2para) translation, and collect a new dataset of Chinese-English novels to promote future research

Meet the Scientists

Scientific visualization has become an active area of research. Most researchers and students in the field of visualization, however, do not have access to data sets generated by the state-of-the-art sim- ulations. In the case they have access to some of these data sets, they often do not get to directly interact with the scientists who generated the data sets. This interaction is crucial for obtaining the understanding of what scientists really need to get out of their data sets and what visualization functionalities are missing in ex- isting visualization software tools. This panel will provide such interaction. Through the DOE SciDAC Institute for Ultrascale Vi- sualization (Ultravis Institute) [6], scientists in representative areas fromastrophysics, combustion, to plasma physicswill be sponsored to attend the Visualization 2007 Conference and participate in the panel. Each scientist will describe his/her application, data sets, and the corresponding visualization and data analysis needs and challenges, and then answer questions. By making their data sets openly available through the Ultravis Institute after the Conference, more visualization researchers will be given the chance to work on the problems truly faced by the scientists. The panel will thus pro- vide these researchers the correct understanding of the problems, and subsequently help accelerate the development of the field of scientific visualization. The following sections introduce the four participating scientists and their application areas

Diva: A Declarative and Reactive Language for In-Situ Visualization

The use of adaptive workflow management for in situ visualization and analysis has been a growing trend in large-scale scientific simulations. However, coordinating adaptive workflows with traditional procedural programming languages can be difficult because system flow is determined by unpredictable scientific phenomena, which often appear in an unknown order and can evade event handling. This makes the implementation of adaptive workflows tedious and error-prone. Recently, reactive and declarative programming paradigms have been recognized as well-suited solutions to similar problems in other domains. However, there is a dearth of research on adapting these approaches to in situ visualization and analysis. With this paper, we present a language design and runtime system for developing adaptive systems through a declarative and reactive programming paradigm. We illustrate how an adaptive workflow programming system is implemented using our approach and demonstrate it with a use case from a combustion simulation.Comment: 11 pages, 5 figures, 6 listings, 1 table, to be published in LDAV 2020. The article has gone through 2 major revisions: Emphasized contributions, features and examples. Addressed connections between DIVA and FRP. In sec. 3, we fixed a design flaw and addressed it in sec. 3.3-3.4. Re-designed sec. 5 with a more concrete example and benchmark results. Simplified the syntax of DIV

Working Across Professions to Develop the Interprofessional Education Curriculum Pathway

This poster presents the assessment of curriculum through the Interprofessional Education committee, which was created in 2015 with the support of the Deans of the John A. Burns School of Medicine, School of Nursing and Dental Hygiene, Myron B. Thompson School of Social Work, the Daniel K. Inouye School of Pharmacy and Director of the Office of Public Health Studies in order to help prepare students for working collaboratively in complex healthcare settings. The process through which the curriculum is assess against the Interprofessional Education Collaborative competencies is outlined. In addition to discussing the identified curriculum gaps and plan for action, a detailed curriculum map is provided

Mesencephalic Astrocyte-Derived Neurotrophic Factor (MANF) Regulates Neurite Outgrowth through the Activation of Akt/mTOR and Erk/mTOR Signaling Pathways

Neurite outgrowth is essential for brain development and the recovery of brain injury and neurodegenerative diseases. In this study, we examined the role of the neurotrophic factor MANF in regulating neurite outgrowth. We generated MANF knockout (KO) neuro2a (N2a) cell lines using clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 and demonstrated that MANF KO N2a cells failed to grow neurites in response to RA stimulation. Using MANF siRNA, this finding was confirmed in human SH-SY5Y neuronal cell line. Nevertheless, MANF overexpression by adenovirus transduction or addition of MANF into culture media facilitated the growth of longer neurites in RA-treated N2a cells. MANF deficiency resulted in inhibition of Akt, Erk, mTOR, and P70S6, and impaired protein synthesis. MANF overexpression on the other hand facilitated the growth of longer neurites by activating Akt, Erk, mTOR, and P70S6. Pharmacological blockade of Akt, Erk or mTOR eliminated the promoting effect of MANF on neurite outgrowth. These findings suggest that MANF positively regulated neurite outgrowth by activating Akt/mTOR and Erk/mTOR signaling pathways

Anti-Metastatic Properties of a Marine Bacterial Exopolysaccharide-Based Derivative Designed to Mimic Glycosaminoglycans

Osteosarcoma is the most frequent malignant primary bone tumor characterized by a high potency to form lung metastases. In this study, the effect of three oversulfated low molecular weight marine bacterial exopolysaccharides (OS-EPS) with different molecular weights (4, 8 and 15 kDa) were first evaluated in vitro on human and murine osteosarcoma cell lines. Different biological activities were studied: cell proliferation, cell adhesion and migration, matrix metalloproteinase expression. This in vitro study showed that only the OS-EPS 15 kDa derivative could inhibit the invasiveness of osteosarcoma cells with an inhibition rate close to 90%. Moreover, this derivative was potent to inhibit both migration and invasiveness of osteosarcoma cell lines; had no significant effect on their cell cycle; and increased slightly the expression of MMP-9, and more highly the expression of its physiological specific tissue inhibitor TIMP-1. Then, the in vivo experiments showed that the OS-EPS 15 kDa derivative had no effect on the primary osteosarcoma tumor induced by osteosarcoma cell lines but was very efficient to inhibit the establishment of lung metastases in vivo. These results can help to better understand the mechanisms of GAGs and GAG-like derivatives in the biology of the tumor cells and their interactions with the bone environment to develop new therapeutic strategies