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Medium 9781935476504

7 Research Advocacy in Clinical Nursing

Connie M. Ulrich Sigma Theta Tau International ePub

–Kim Mooney-Doyle, MSN, RN

Doctoral candidate, University of Pennsylvania School of Nursing

–Gwenyth R. Wallen, PhD, RN

Chief of Nursing Research and Translational Science, National Institutes of Health Clinical Center

–Connie M. Ulrich, PhD, RN, FAAN

Associate Professor of Bioethics and Nursing University of Pennsylvania School of Nursing Secondary Appointment, Department of Medical Ethics and Health Policy Senior Fellow, Leonard Davis Institute for Health Economics New Courtland Center for Health and Transitions

• Clinical practice and clinical research are distinctly different aspects of patient care.

• Informed consent is an essential element of the ethical conduct of research and is an ongoing process.

• The ethical principles of respect for persons, beneficence, and justice can guide nurses in their daily care of patients enrolled in research.

Nurses often state that they go into nursing to make a significant difference in the lives of their patients and families. Actively diminishing the pain and suffering of those who are acutely, critically, or chronically ill is especially rewarding to them. Staff nurses on the front lines of health care delivery consistently assess and evaluate the physical and psychosocial needs of their patients. Research is not usually on the minds of practicing nurses, yet research is integral to improving patient-related outcomes. In fact, Willis and Grace (2011) argue that nurses are ethically responsible for understanding the science behind their patients’ conditions, including learning about topics that advance the theoretical and empirical knowledge base of nursing practice. Additionally, Grady and Edgerly (2009) note that “in many settings, nurses are ethically responsible for contributing to both the promotion of good science and to the protection of the rights and welfare of patient subjects, a balance which requires knowledge, competence, advocacy, creativity, and close working relationships within the research and clinical teams” (p. 3).

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Medium 9781593573669

CHAPTER 14: Sample Cover Letters

Wendy Enelow JIST Publishing ePub

What follows are six more sample cover letters for your review. Look at them closely. Select opening paragraphs, closing paragraphs, formats, and styles that you like, and then model your own cover letters accordingly. You’ll find that by using these sample letters for hints, your letter-writing process will be much easier and faster. To see even more samples and get more help with writing your cover letters, see our book Cover Letter Magic (JIST Publishing).

This powerful cover letter clearly communicates the track record of promotion and the key accomplishments this executive candidate brings to the advertised position, while using bold print to draw special attention to keywords, phrases, and numbers (by Cindy Kraft, CCMC, CCM, CPRW, JCTC).

This writer used a comprehensive approach for writing this recruiter-targeted cover letter to be certain to communicate the depth and wealth of his experience. Notice how salary requirements are stated as a range rather than a specific figure (by Barbara Safani, M.A., CCM, CPRW, NCRW, CERW).

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Medium 9781491913710


Brian S McWilliams O'Reilly Media ePub

“Welcome to the death of email, ladies and gentlemen. Would the last person to leave email please turn out the lights?”

That’s how a spam fighter greeted the Nanae crowd on the evening of November 22, 2003. Earlier that day, the U.S. House of Representatives had overwhelmingly approved the “Controlling the Assault of Non-Solicited Pornography and Marketing Act,” otherwise known as CAN-SPAM. The measure was expected to sail through the Senate and be signed into law by President George W. Bush. After six years of failure, Washington was about to enact its first federal anti-spam legislation.

So why the dire prediction on Nanae? Many anti-spammers felt the proposed law was in fact legalizing junk email—and, in the process, opening the floodgates to spam.

“I said years ago that government would only screw it up,” wrote one spam fighter on Nanae. “Will those who have been calling for Congress to do something, please stand up and slap yourselves up side the head?”

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Medium 9781617835551

Important Words

Julie Murray Big Buddy Books PDF

Important Words carnivore (KAHR-nuh-vawr) an animal or a plant that eats meat. continent one of Earth’s seven main land areas. culture (KUHL-chuhr) the arts, beliefs, and ways of life of a group of people. habitat a place where a living thing is naturally found. hatch to be born from an egg. mate to join as a couple in order to reproduce, or have babies. prey an animal hunted or killed by a predator for food. reptile a member of a group of living beings. Reptiles have scaly skin and are cold-blooded. snout a part of the face, including the nose and the mouth, that sticks out. Some animals, such as Komodo dragons, have a snout. survive to continue to live or exist. venom a poison made by some animals and insects. It usually enters a victim through a bite or a sting.

Web Sites

To learn more about Komodo dragons, visit ABDO Publishing Company online. Web sites about Komodo dragons are featured on our Book Links page. These links are routinely monitored and updated to provide the most current information available.

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Medium 9781601322340

Reconstruction of Dynamic Gene Regulatory Networks for Cell Differentiation by Separation of Time-course Data

Hamid R. Arabnia and Quoc-Nam Tran CSREA Press PDF

Int'l Conf. Bioinformatics and Computational Biology | BIOCOMP'13 |


Reconstruction of Dynamic Gene Regulatory Networks for Cell

Differentiation by Separation of Time-course Data

T. Nakayama1 , H. Daiyasu1 , S. Seno1 , Y. Takenaka1 , and H. Matsuda1

1 Department of Bioinformatic Engineering, Graduate School of Information Science and Technology,

Osaka University, 1-5, Yamadaoka, Suita, Osaka, Japan

Abstract— Recently, dynamic Bayesian network (DBN) model is widely used for estimating gene regulatory networks

(GRNs) from time-course gene expression data. Ordinary

DBNs estimate only a single network using the whole timecourse data. However, some GRNs, such as cell differentiation, dynamically change their network structures due to chromatin remodeling. In this papers we present a method to estimate such dynamic GRNs that follow the dynamic changes of the regulations in adipocyte differentiation by separating time-course data. We analyzed the estimated

GRNs and confirmed that the GRNs showed the dynamic changes in adipocyte regulation. The result shows that our method can identify the regulatory relationships of the genes that are dynamically changing during adipocyte differentiation by separating the time-course data.

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