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Ada, OH, United States

Ohio Northern University is a private, United Methodist Church-affiliated university located in the United States in Ada, Ohio, founded by Henry Solomon Lehr in 1871. ONU is accredited by The Higher Learning Commission and the North Central Association of Colleges and Schools. ONU is a sister university with Dankook University, a private university in Seoul, South Korea. In 2008, 2009, 2010, and 2013 U.S. News & World Report listed Ohio Northern as regional universities midwest, #2, though there are Midwest universities that are ranked equivalently to or higher than Ohio Northern University in the complete United States University rankings. Wikipedia.


Potkanowicz E.S.,Ohio Northern University | Mendel R.W.,University of Mount Union
Sports Medicine | Year: 2013

When discussing sports and the athletes who participate in them, it has long been recognized that fitness is a prerequisite for optimal performance. The goal of training to improve fitness levels in athletes is ultimately to minimize the stress that the body experiences during competition. When it comes to the topic of racecar drivers, however, drivers and their trainers have largely been left to their own devices to figure out the stressors and the areas of specific training focus. Unfortunately, racecar drivers have battled the stereotype that they are not athletes, and with little regard for them as athletes, drivers are seldom the focus of scientific research related to their performance. Like the cars they drive, driver-athletes are complex, but from a physiological perspective. However, unlike the cars they drive, driver-athletes have not been examined, evaluated, and tweaked to the same degree. The purpose of this review is two-fold: first, by examining the available literature, to make the case for new research into the driver's role in the driver-car system (i.e. driver science) and the stresses experienced; second, to make the case for more extensive use of microtechnology in the real-time monitoring of driver-athletes. With the miniaturization of sensors and the advent of portable data storage devices, the prospect of quantifying the stresses unique to the driver are no longer as daunting, and the relative impossibility and difficulties associated with measuring the driver-athlete in real-time no longer need to be as challenging. Using microtechnology in the assessment of the driver-athlete and with a more public discussion and dissemination of information on the topic of driver science, the scientific community has the opportunity to quantify that which has been largely assumed and speculated. The current article will offer the following recommendations: first, rather than examining a singular physiological stressor, to examine the interaction of stressors; second, to examine variables/stressors that are more representative of the changing driver demographics; third, to measure drivers in real-time during actual race events; lastly, to work to develop training programs that more accurately apply to the driver and the stresses experienced. In uncovering this information, there is an opportunity to contribute to racing becoming that much safer, that much more competitive, and that much more comprehensive for the driver, the team, and the sport. © 2013 Springer International Publishing Switzerland. Source


Leblanc H.J.,Ohio Northern University | Zhang H.,University of Waterloo | Koutsoukos X.,Vanderbilt University | Sundaram S.,University of Waterloo
IEEE Journal on Selected Areas in Communications | Year: 2013

This paper addresses the problem of resilient in-network consensus in the presence of misbehaving nodes. Secure and fault-tolerant consensus algorithms typically assume knowledge of nonlocal information; however, this assumption is not suitable for large-scale dynamic networks. To remedy this, we focus on local strategies that provide resilience to faults and compromised nodes. We design a consensus protocol based on local information that is resilient to worst-case security breaches, assuming the compromised nodes have full knowledge of the network and the intentions of the other nodes. We provide necessary and sufficient conditions for the normal nodes to reach asymptotic consensus despite the influence of the misbehaving nodes under different threat assumptions. We show that traditional metrics such as connectivity are not adequate to characterize the behavior of such algorithms, and develop a novel graph-theoretic property referred to as network robustness. Network robustness formalizes the notion of redundancy of direct information exchange between subsets of nodes in the network, and is a fundamental property for analyzing the behavior of certain distributed algorithms that use only local information. © 1983-2012 IEEE. Source


Sheridan T.E.,Ohio Northern University
Physics of Plasmas | Year: 2012

We consider the structural phases of a cluster of identical particles confined in a two-dimensional biharmonic well and interacting through a screened Coulomb (Yukawa) potential (e.g., dusty plasma). For n = 6 particles, we show that there are one discontinuous and three continuous structure transitions, giving five structure phases. Two of these phases, the straight line and zigzag configurations, have previously been studied experimentally. We experimentally verify the discontinuous transition and observe the remaining three phases. © 2012 American Institute of Physics. Source


Bishop B.M.,St Ritas Medical Center | Bishop B.M.,Ohio Northern University
Annals of Pharmacotherapy | Year: 2015

Objective: To describe the current Ebola virus epidemic and the potential options for treatment and prevention of Ebola virus disease. Data Sources: A PubMed literature search (1976 through October 20, 2014) was conducted using the search term Ebola. Study Selection and Data Extraction: Animal and human studies published in English were selected. Studies published within the past 5 years were the primary focus of this review. Data Synthesis: The current Ebola virus epidemic has primarily been contained in West Africa though it has subsequently spread to other areas, including the United States. The first patient in the United States infected with Ebola virus was diagnosed, treated, and expired in Texas. Two nurses caring for this patient also were diagnosed with Ebola virus and have been successfully treated. Treatment options for patients infected with Ebola virus are limited. Supportive therapy is centered on fluid resuscitation, electrolyte imbalance correction, treating complicating infections, and preventing complications of shock. Experimental therapies (ZMapp, brincidofovir, TKM-Ebola, and favipiravir) have been used during this current outbreak. Several medications such as amiodarone, chloroquine, and clomiphene may prevent the transmission of or treat Ebola virus. Different vaccine therapies are also in early-stage development. One of the vaccine strategies using recombinant vesicular stomatitis virus as a delivery vector has demonstrated efficacy when used for preexposure and postexposure prophylaxis. Conclusion: Ebola virus is highly virulent and fatal, and treatment options are limited. Several experimental and existing therapies may be options for preventing and treating Ebola virus disease. © The Author(s) 2014. Source


DiPietro N.A.,Ohio Northern University
Pharmacotherapy | Year: 2010

This article is the first of a three-part series intended to enhance clinical pharmacists' understanding of methods frequently used in epidemiologic research and their applications. The basic tenets of epidemiology and uses for data derived from epidemiologic studies are given, along with a high-level overview of the differences between experimental and observational study designs. The defining characteristics of each of the observational study designs (case report or case series, ecologic, cross-sectional, cohort, case-control, nested case-control, and case-cohort) and the resultant strengths and limitations of the study designs are presented. Applications for observational studies in pharmacoepidemiology (including the case-crossover and case-time-control study designs) are discussed. Finally, points to consider when evaluating data from observational studies are addressed. Source

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