1,084 research outputs found
Book Review
Text: Nutta, J. W., Mokhtari, K., & Strebel, C. (2012). Preparing every teacher to reach English learners. Cambridge, MA: Harvard Education Press
How nurses perceive the impact of health IT applications on their performance and satisfaction: Examining the organizational, social, and personal factors
Applying information technology tools in the healthcare industry is an appropriate solution to integrate and record medical data and provide complete access of patientsâ information. However, the effectiveness of these technologies depends on their successful implementation and adaptation. This study addresses the impact of result observability, autonomy, perceived barriers, task structure, privacy and security anxiety, and communication (social) patterns on the perception of the performance and satisfaction of nurses using IT applications in healthcare. Furthermore, the effects of nursesâ years of experience, age, different hospitals, different electronic medical records (EMR) applications, and personality factors are examined as a moderator factors on the relationships between the organizational and social factors, and nursesâ performance and satisfaction. This study proposes a model of the relationship of organizational and social variables as predictor factors on the perception of performance and satisfaction with EMR among nurses.
Multivariate linear regression was used to build models for the perception of performance and the perception of EMR satisfaction. Professional autonomy, communication patterns, privacy and security anxiety, and result observability are the most important predictors for the nursesâ perception of performance relationship. Personality factors do not have a direct relationship with the perception of performance and satisfaction; however, they have moderator effects on the relationship of the independent and dependent variables. Based on the result, financial incentives and sufficient training could influence the nursesâ perception of EMR effectiveness. Based on the findings of this study, the healthcare administrators could focus on increasing employee awareness about the results and tangible benefits of EMR applications and their effects on their performance and satisfaction. EMR development companies in collaboration with healthcare administrators could design the EMR applications more flexible in terms of professional autonomy and give the healthcare staff more freedom to make decisions and deliver care to patients. Moreover, EMR companies may need to reconsider the communication patterns among healthcare staff and patients
Effects of Post-harvest Pre-cooling Processes and Cyclical Heat Treatment on the Physico-chemical Properties of "Red Haven Peaches" and "Shahmiveh Pears" During Cold Storage
Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 6 (2004): A. Kalbasi-Ashtari. Effects of Post-harvest Pre-cooling Processes and Cyclical Heat Treatment on the Physico-chemical Properties of "Red Haven Peaches" and "Shahmiveh Pears" During Cold Storage. (July 2004)
BARRIERS TO ADVANCED HERITAGE LANGUAGE DEVELOPMENT
Speakers of heritage languages do not universally achieve advanced levels in the language. We present evidence that three barriers are responsible: (1) lack of access to comprehensible, interesting reading material in the heritage language. (2) The use of traditional language teaching methods in heritage language classes, and (3) the reactions of elders who scold young heritage language speakers for their âerrors.â
A Decision-Support Tool for the Choice of Fabrication Routes in the Context of Mass Personalization
In the saturated competitive markets of today, Mass Personalization (MP) is getting more and more attention. MP refers to the affordable fabrication of personalized products where the customer is involved from the beginning of product life-cycle (design phase). In order to keep personalized products affordable, it is important to select the most cost-effective fabrication route for each individualized order. To do so, this study proposes a Web-based Personalized Manufacturing Consulting System (WebPMCS) towards selecting the most cost-effective processes/resources for mass personalization in the on-demand manufacturing context. The proposed tool includes a Graphical User Interface (GUI), a cost estimation model, and a relational database. In this document, we explain the steps towards WebPMCS design and development. Then, we adapt WebPMCS to Spark Assisted Chemical Engraving (SACE). By the aid of this case-study, we validate the tool, and determine the most cost-effective fabrication routes for several personalized orders. Finally, we suggest using multi-head machines for SACE personalized fabrication and prove its benefits using WebPMCS. The proposed tool acts as an advanced calculator and a process/resource selector, and is aimed to be used as an enabling module for industry 4.0 manufacturing philosophy
Identifying invariant solutions of wall-bounded three-dimensional shear flows using robust adjoint-based variational techniques
Invariant solutions of the Navier-Stokes equations play an important role in
the spatiotemporally chaotic dynamics of turbulent shear flows. Despite the
significance of these solutions, their identification remains a computational
challenge, rendering many solutions inaccessible and thus hindering progress
towards a dynamical description of turbulence in terms of invariant solutions.
We compute equilibria of three-dimensional wall-bounded shear flows using an
adjoint-based matrix-free variational approach. To address the challenge of
computing pressure in the presence of solid walls, we develop a formulation
that circumvents the explicit construction of pressure and instead employs the
influence matrix method. Together with a data-driven convergence acceleration
technique based on dynamic mode decomposition, this yields a practically
feasible alternative to state-of-the-art Newton methods for converging
equilibrium solutions. We successfully converge multiple equilibria of plane
Couette flow starting from inaccurate guesses extracted from a turbulent time
series. The variational method significantly outperforms the standard
Newton-hookstep method, demonstrating its superior robustness and suggesting a
considerably larger convergence radius
Systematic Review of Social Networking Support Groups for Genetic-Disorders Pain Management
The pervasive opioid crisis in the United States highlights the challenges that many individuals have with pain management. One population that struggles with pain management are communities that experience genetic disorders. In this paper we present a literature review that examines the findings of the extant literature regarding pain management for genetic disorders on social media. We find that while research regarding social media in healthcare management has been increasing, there are still relatively few papers that address social media and pain management, We present a research agenda for the study of pain management techniques enabled by social media
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