scholarly journals Developing a Provincial Centralized Intake Process for a Knowledge Resource Service Part 2: Article Requests

Author(s):  
Michelle Turner ◽  
Marcus Vaska

<span>This program description outlines the development and implementation of a single point of intake for receiving and processing article requests as part of a provincial Knowledge Resource Service.</span>

2013 ◽  
Vol 397-400 ◽  
pp. 42-46
Author(s):  
Nan Zhao ◽  
Hong Yu Shao

According to the current situations of the unorganized and disorderly design knowledge as well as the weak innovation capability for SMEs under cloud manufacturing environment, and aiming at combining the design knowledge into ordered knowledge resource series, the service ability assessment model of knowledge resource was eventually proposed, and moreover, the Projection Pursuit-Principal Component Analysis (PP-PCA) algorithm for service ability assessment was further designed. The study in this paper would contribute to the realization of the effectiveness and accuracy of the knowledge push service, which exhibited a significant importance for improving the reuse efficiency of knowledge resources and knowledge service satisfaction under the cloud manufacturing environment.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Yan-chao Yin ◽  
Fu-zhao Chen ◽  
Wei-zhi Liao ◽  
Cui-yin Liu

It is urgent to combine knowledge resources with manufacturing business processes to form a knowledge service in the cloud mode, so as to provide intelligent support for business activities in product development process. The main challenge of knowledge resource service, however, is how to rapidly construct the complex resource service system and respond promptly to the changeable service requirements in the business process, which is similar to the software system modeling using a component in software engineering. This paper is concerned with an optimal composition framework (OCF) of knowledge resource service, including service decomposition, component encapsulation, and optimal composition. Firstly, the typical business processes are decomposed into the dynamic knowledge element (DKE), and all kinds of knowledge resources and service behaviors are encapsulated into the reusable resource service components (RSC). Then, a multicomponent optimal composition mathematical model is presented, which transforms the problem of component composition into a multiobjective optimization problem. On this basis, a heuristic algorithm with the adaptive mutation probability is introduced to composite the multigranularity service component dynamically and robustly. Finally, the case of component composition for maintenance resource service is studied and the simulation results are provided to verify the efficacy of the proposed model and algorithms.


2008 ◽  
Vol 21 (3) ◽  
pp. 35-40 ◽  
Author(s):  
Tammy J. Bungard ◽  
Marcie J. Smigorowsky ◽  
Lucille D. Lalonde ◽  
Terry Hogan ◽  
Evelyn Maier ◽  
...  

Out-patient cardiac consultation in academic group practices often lacks a coordinated intake process, making it difficult to perform prospective testing or to direct undifferentiated consultations to the cardiologist with the shortest waiting list. We created a programmatic approach, with a single point of entry to improve the efficiency of cardiology consultation, without departing from the Canada Health Act. The purpose of this paper is to describe the design of Cardiac EASE.


Author(s):  
Candace Vickers ◽  
Darla Hagge

This article describes Communication Recovery Groups (CRG), an aphasia group program that is sponsored by a medical setting and more recently a university setting. CRG's history and approach and its model of service in light of current healthcare challenges are summarized. The article also provides a detailed discussion regarding the logistics of offering conversation groups to persons with aphasia which are sponsored by medical and/or university settings, the intake process for new group members, and the training of student volunteers to help lead conversation groups.


Author(s):  
Andrew Atia ◽  
Hannah C. Langdell ◽  
Andrew Hollins ◽  
Ronnie L. Shammas ◽  
Adam Glener ◽  
...  

Abstract Background Microsurgery fellowship applicants make decisions for future training based on information obtained from colleagues, mentors, and microsurgery fellowship program Websites (MFWs). In this study, we sought to evaluate the accessibility and quality of available information by microsurgery programs by analyzing the most commonly used web resources and social media outlets for applicants. Methods The San Francisco (SF) Match and American Society of Reconstructive Microsurgery Websites were queried in April 2020 for microsurgery fellowship programs (MFPs) participating in the SF Match. Twenty-two independent variables of information were assessed on MFWs based on previously published data. Social media presence was also assessed by querying Facebook, Instagram, and Twitter for official hospital, plastic surgery residency, and microsurgery fellowship accounts. Results All 24 MFWs participating in the SF Match had a webpage. Program description, faculty listing, operative volume, and eligibility requirements were listed for all programs (100%). The majority of MFWs listed affiliated hospitals (75%), provided a link to the fellowship application (66.7%), listed interview dates (66.7%), and highlighted research interests (50%). A minority of MFWs provided information on conference schedule (37.5%), current fellow listing (25%), previous fellow listing (16.67%), and positions held by previous fellows (8.33%). No MFWs (0%) presented information on selection process, or rotation schedule.All hospitals with an MFP had a Facebook page and nearly all had Instagram (83.3%) and Twitter accounts (95.8%). Plastic surgery residency programs at the same institution of an MFP had social media presence on Facebook (38.9%), Twitter (38.9%), and Instagram (66.7%). Only three MFPs had Facebook accounts (12.5%) and none had Instagram or Twitter accounts. Conclusion As the field of microsurgery continues to grow, the need for effective recruitment and training of microsurgeons continues to be essential. Overall, we conclude that both the accessibility and quality of information available to applicants are limited, which is a missed opportunity for recruitment.


2020 ◽  
Vol 655 ◽  
pp. 185-198
Author(s):  
J Weil ◽  
WDP Duguid ◽  
F Juanes

Variation in the energy content of prey can drive the diet choice, growth and ultimate survival of consumers. In Pacific salmon species, obtaining sufficient energy for rapid growth during early marine residence is hypothesized to reduce the risk of size-selective mortality. In order to determine the energetic benefit of feeding choices for individuals, accurate estimates of energy density (ED) across prey groups are required. Frequently, a single species is assumed to be representative of a larger taxonomic group or related species. Further, single-point estimates are often assumed to be representative of a group across seasons, despite temporal variability. To test the validity of these practices, we sampled zooplankton prey of juvenile Chinook salmon to investigate fine-scale taxonomic and temporal differences in ED. Using a recently developed model to estimate the ED of organisms using percent ash-free dry weight, we compared energy content of several groups that are typically grouped together in growth studies. Decapod megalopae were more energy rich than zoeae and showed family-level variability in ED. Amphipods showed significant species-level variability in ED. Temporal differences were observed, but patterns were not consistent among groups. Bioenergetic model simulations showed that growth rate of juvenile Chinook salmon was almost identical when prey ED values were calculated on a fine scale or on a taxon-averaged coarse scale. However, single-species representative calculations of prey ED yielded highly variable output in growth depending on the representative species used. These results suggest that the latter approach may yield significantly biased results.


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