Mobile Social Networking aided content dissemination in heterogeneous networks

Since more and more mobile applications are based on the proliferation of social information, the study of Mobile Social Net-works (MSNs) combines social sciences and wireless communications. Operating wireless networks more efficiently by exploiting social relationships between MSN users is an appealing but challenging option for network operators. An MSN-aided content dissemination technique is presented as a potential ex-tension of conventional cellular wireless net-works in order to satisfy growing data traffic. By allowing the MSN users to create a self-organized ad hoc network for spontaneously disseminating contents, the network operator may be able to reduce the operational costs and simultaneously achieve an improved network performance. In this paper, we first summarize the basic features of the MSN architecture, followed by a survey of the factors which may affect MSN-aided content dissemination. Using a case study, we demonstrate that one can save resources of the Base Station (BS) while substantially lowering content dissemination delay. Finally, other potential applications of MSN-aided content dissemination are introduced, and a range of future challenges are summarized

Evaluation of a Human Trafficking Educational Intervention at Thomas Jefferson University for Public Health Students

The evaluation of educational programs serves as a mechanism to enhance student learning and professional success. Effective evaluation provides value to educators invested in improving their interventions, students invested in receiving high-quality education, future employers searching for well-trained team members. One critical public health topic for students to understand well so it can be better addressed by future public health professionals is human trafficking. Human trafficking not only affects individuals but society in significant ways. Educating public health students on the significant and increasing problem is key to victim identification and intervention. Estimates indicate over 80% of trafficked victims interact with health care professionals at some point in their experience, and these workers need an understanding of the issues involved. This capstone integrative learning experience involved evaluation of a Human Trafficking Self-Guided Education Module (HTSGEM) developed by a Jefferson College of Population Health (JCPH) alumni to educate public health students on human trafficking. The evaluation of this educational intervention involved a pre-test and post-test of student knowledge on human trafficking. Public health students (N=12) had 10 minutes to answer a paper questionnaire with sixteen (16) printed questions for the pre-test. After the pre-test, students watched a thirty (30) minute Human Trafficking Self-Guided Education Module (HTSGEM) and then had 10 minutes for the post-test. Individual scores were analyzed and compared. Pre-test awareness was low, with significant improvement post-test. Described in this report is a comparison of both pre and post-test results and a statement on findings to aid decisions on future evaluations and curriculum implementation

What You Need to Know about Bar-Code Medication Administration

Medication errors are the most common type of preventable error. Bar-code medication administration (BCMA) technology was designed to reduce medication administration errors. Poor system design, implementation and workarounds remain a cause of errors. This paper reviews the literature on BCMA, identifies a gap in the findings and identifies three evidence based practices that could be used to improve system implementation and reduce error. The literature review identified that Bar-code medication administration and system workarounds are well documented and affect patient safety. Based on the critical analysis of 10 studies, we identified gaps in the standardization of BCMA planning, implementation, and sustainability. The themes that emerged from the literature were poor BCMA design and implementation that resulted in workarounds.The three evidence based strategies proposed to address this gap are, evidence based standardization in planning and implementation, the identification and elimination of workarounds and hard wiring. An evidence based checklist evaluates compliance with standard procedures. The LEAN model of Jodoka is used to assure adaptation of the machine to human workflow. Direct observation provides valuable workflow assessment. An effective BCMA implementation involves careful system design, identification of workflow issues which cause workarounds, and adapting the machine to nursing needs

On the Job-Chuck Rowland, MSN, CRNP

Chuck Rowland, MSN, CRNP, first came to Jefferson in 1986 as a newly graduated clinical perfusionist. Over the next 25 years, he worked in several states and returned to Jefferson as a perfusionist before pursuing a career in nursing. In 2007, he completed his BSN in Villanova University’s accelerated nursing program and continued his studies to earn his MSN as an Adult Nurse Practitioner in 2010. Since April 2011, Rowland has been supporting Jefferson’s Division of Cardiothoracic Surgery as an outpatient nurse practitioner. More recently, he assumed additional responsibilities as director of the Smoking Cessation, Counseling and Therapy (SCCT) Program, for which he became a Certified Tobacco Treatment Specialist. What is the SCCT Program? The SCCT Program is a relatively new endeavor that began with the progressive ideas and support of Scott Cowan, MD, FACS, one of our thoracic surgeons. The program’s goal is to jumpstart smoking cessation prior to surgery. During the appointment process, we screen all patients for smoking. If the patient agrees, we schedule him or her for a separate appointment for smoking cessation planning. We’ve designed the SCCT Program to provide one-on-one counseling tailored to individual patient needs. Each smoking cessation plan of care is formulated with patient input. For most patients, the goal is to quit smoking over a period of a few weeks – and then sustain that success over the long term. What is your philosophy of patient care? Patients are multidimensional. When they come to us with physical issues, they also bring social, cultural and spiritual dimensions. I believe it’s important to formulate a plan of care that incorporates and adapts to these needs. What most energizes you about your career? I’m energized by the ability to help patients navigate through their journey with cardiothoracic surgery and/or smoking cessation, which for most is a very stressful time. I always strive to help patients and their families truly understand what’s happening – from admission through final discharge and even weeks after surgery. Learn more at: www.jeffersonhospital.org/SCC

CO2 reforming of methane over ni supported on mesostructured silica nanoparticles (NI/MSN): effect of NI loading

A series of Ni incorporated Mesostructured Silica Nanoparticles (MSN) were prepared by physical mixing method. Electrolyzed nickel oxide was used as the Ni precursor. The N2 adsorption-desorption and X-Ray diffraction (XRD) analyses evidenced that the increase in Ni loading decreased the surface area and crystallinity, and increased Ni particle size in the catalyst, respectively. The activity of CO2 reforming of CH4 followed the order of 10Ni/MSN > 15Ni/MSN > 5Ni/MSN > MSN. The highest activity was achieved by 10Ni/MSN with the CH4 and CO2 conversion of 63.4% and 87.2 %, respectively. The results indicated that the presence of a suitable Ni amount in MSN was beneficial to achieve high catalytic activity due to its effect on the amount of active metal sites available for the reaction. Thus, the electrolyzed nickel oxide precursor and Ni/MSN catalyst prepared by electrochemical method and physical mixing synthesis has a potential to be utilized in CO2 reforming of CH4

Synthesis of carbon nanotubes-mesostructured silica nanoparticles composites for adsorption of methylene blue

The mesostructured silica nanoparticles (MSN) have been widely developed for the removal of various pollutants due to their highly porous structure and other novel features. While carbon nanotubes (CNT) are attracting great interest owing to its large specific surface area, small size, hollow and layered structures. The integration of these outstanding properties by modification of MSN with singlewalled CNT (SWCNT) and multiwalled CNT (MWCNT) is quite new in this area of study and is expected to produce an adsorbent with higher adsorption capacity. In this study, three types of adsorbents were prepared by a simple one step method; MSN, series of SWCNT-MSN composites, and series of MWCNT-MSN composites. Their characteristics have been observed by XRD, N2 physisorption, FTIR, TEM, and FESEM, while their adsorption performance were evaluated on the adsorption of methylene blue (MB) at various pH, adsorbent dosage, initial MB concentration, and temperature. The results demonstrated that the adsorbents were prepared with mesoporous structures and produces relatively higher number of pores with larger diameters. The CNTs were found to improve the physicochemical properties of the MSN and led to an enhanced adsorptivity for MB. N2 physisorption measurements revealed the development of a bimodal pore structure in MWCNT-MSN composites that increased the pore size, pore volume and surface area. The best conditions for MSN, SWCNT-MSN and MWCNT-MSN composites achieved at pH 7 and 303 K using 0.05 g L-1 adsorbent and 100 mg L-1 MB. Fitting with linear Langmuir isotherm produce the maximum adsorption capacity of 500.1 mg g-1, 500.0 mg g-1, and 263.2 mg g-1 for MSNAP, SWCNT-MSN and MWCNT-MSN, respectively. The equilibrium data were evaluated using the Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich isotherm models, with the Freundlich model affording the best fit to the adsorption data for MSN and Langmuir model for both SWCNT-MSN and MWCNT-MSN. The adsorption kinetics for all MSN, SWCNT-MSN and MWCNT-MSN were best described by the pseudo-second order model. Thermodynamic study showed that the nature of MSNs and MWCNT-MSNs are exothermic, and endothermic for SWCNT-MSNs. This study is proven to produce a relatively new and potential mesostructured materials used as adsorbent for dye removal and water treatment

Optical packet switching over arbitrary physical topologies using the Manhattan street network : an evolutionary approach

Published in "Towards an Optical Internet", A. Jukan (Ed.). Optical packet switching over arbitrary physical topologies typically mandates complex routing schemes and the use of buffers to resolve the likely contentions. However, the relatively immature nature of optical logic devices and the limitations with optical buffering provide significant incentive to reduce the routing complexity and avoid optical domain contentions. This paper examines how the Manhattan Street Network (MSN) and a particular routing scheme may be used to facilitate optical packet switching over arbitrary physical topologies. A novel approach, genetic algorithms (GA), is applied to the problem of deploying the MSN (near) optimally in arbitrary physical topologies. A problem encoding is proposed and different implementations of GA described. The optimum GA parameters are empirically selected and GA is successfully used to deploy the MSN in physical topologies of up to 100 nodes. Favourable results are obtained. GA are also seen to out-perform other heuristics at deploying the MSN in arbitrary physical topologies for optical packet switching