Implementation Barriers: A TASKS Framework

2021 ◽  
pp. 1-14
Author(s):  
Jiami Yang ◽  
Lin Yang ◽  
Hude Quan ◽  
Yong Zeng
Keyword(s):  
Mental Stress ◽  
Mental Effort ◽  
Implementation Barriers ◽  
Implementation Success ◽  
Knowledge Based ◽  
Wide Range ◽  
Knowledge Barriers ◽  
Barriers To Implementation ◽  
Deductive Theory ◽  
The Ideal

Implementation is ubiquitous. The identification of barriers to implementation is critical for achieving implementation success. This paper introduces and discusses a deductive theory-based framework, TASKS, to guide the identification of implementation barriers. The TASKS framework deals with the relationships between a Task and the task implementer’s Affect, Skills, and Knowledge, based on the inversed U-shaped mental Stress-mental effort relation. The TASKS framework classifies implementation barriers into four categories: 1) emotion barriers, 2) logic barriers, 3) knowledge barriers, and 4) resources barriers. The TASKS framework detects barriers to implementation following three steps, 1) identifying the ideal TASKS components, 2) modelling the implementer’s mental capability, and 3) detecting barriers to implementation. The TASKS framework can be applied to a wide range of disciplines for effective and efficient task implementation.

scholarly journals The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Martin Pullinger ◽  
Jonathan Kilgour ◽  
Nigel Goddard ◽  
Niklas Berliner ◽  
Lynda Webb ◽  
...  
Keyword(s):  
Survey Data ◽  
Energy Demand ◽  
Secondary Data ◽  
Hot Water ◽  
Power Measurement ◽  
Sensor Data ◽  
Energy Awareness ◽  
Household Energy ◽  
Wide Range ◽  
The Ideal

AbstractThe IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appliances, real-power measurement of mains electricity and key sub-circuits, and more detailed temperature monitoring of gas- and heat-using equipment, including radiators and taps. Survey data included occupant demographics, values, attitudes and self-reported energy awareness, household income, energy tariffs, and building, room and appliance characteristics. Linked secondary data comprises weather and level of urbanisation. The data is provided in comma-separated format with a custom-built API to facilitate usage, and has been cleaned and documented. The data has a wide range of applications, including investigating energy demand patterns and drivers, modelling building performance, and undertaking Non-Intrusive Load Monitoring research.

scholarly journals A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 296
Author(s):  
Laila Esheiba ◽  
Amal Elgammal ◽  
Iman M. A. Helal ◽  
Mohamed E. El-Sharkawi
Keyword(s):  
Recommender System ◽  
Mass Customization ◽  
Constraint Satisfaction Problem ◽  
Service Systems ◽  
Prototype System ◽  
Knowledge Based ◽  
Product Service ◽  
Wide Range ◽  
Hybrid Knowledge ◽  
Product Service Systems

Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs). PSS mass customization is defined as the production of products and services to meet the needs of individual customers with near-mass-production efficiency. In the context of the PSS mass customization environment, customers are overwhelmed by a plethora of previously customized PSS variants. As a result, finding a PSS variant that is precisely aligned with the customer’s needs is a cognitive task that customers will be unable to manage effectively. In this paper, we propose a hybrid knowledge-based recommender system that assists customers in selecting previously customized PSS variants from a wide range of available ones. The recommender system (RS) utilizes ontologies for capturing customer requirements, as well as product-service and production-related knowledge. The RS follows a hybrid recommendation approach, in which the problem of selecting previously customized PSS variants is encoded as a constraint satisfaction problem (CSP), to filter out PSS variants that do not satisfy customer needs, and then uses a weighted utility function to rank the remaining PSS variants. Finally, the RS offers a list of ranked PSS variants that can be scrutinized by the customer. In this study, the proposed recommendation approach was applied to a real-life large-scale case study in the domain of laser machines. To ensure the applicability of the proposed RS, a web-based prototype system has been developed, realizing all the modules of the proposed RS.

ISM-MICMAC approach for analysis of project-based learning barriers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Khalid Perwez ◽  
Goutam Kumar Kundu
Keyword(s):  
Structural Model ◽  
Educational Institution ◽  
Project Based Learning ◽  
Educational Institutions ◽  
Successful Implementation ◽  
Implementation Barriers ◽  
Higher Educational Institutions ◽  
Content Type ◽  
Barriers To Implementation ◽  
Higher Educational

Purpose This paper aims to identify and model the key barriers to implementation of project-based learning (PjBL) in higher educational institution. Design/methodology/approach Using the interpretive structural modelling (ISM) technique, the study has developed a hierarchical-based model, depicting the mutual relationships amongst the key barriers to implementation of PjBL. Additionally, the paper has performed Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) analysis to categorize the barriers in terms of their driving and dependence power. Findings The study has identified the key barriers to implementation of PjBL and presented an integrated model using ISM. Higher educational institutions need to pay attention to diagnose and overcome these hindrances for effective implementation of PjBL in their programmes. Research limitations/implications The study adopts a systematic way to model the relevant barriers to implementation of PjBL. The ISM-based model would help higher education institutions to prioritize the issues as the barriers are hierarchically structured. As the input to model development is based on the experts’ opinions, it may be biased, influencing the final output of the structural model. Originality/value The presentation of PjBL implementation barriers in the form of an ISM-based model is a new effort. The model would be useful to understand the barriers and overcome these for the successful implementation of PjBL in higher educational institutions.

The crystal structure of kalsilite, KAlSiO4

1965 ◽  
Vol 35 (272) ◽  
pp. 588-595 ◽  
Author(s):  
A. J. Perrotta ◽  
J. V. Smith
Keyword(s):  
Crystal Structure ◽  
Oxygen Atom ◽  
Crystal Structures ◽  
Bond Angle ◽  
Three Dimensional ◽  
Full Matrix ◽  
Ideal Position ◽  
Wide Range ◽  
The Ideal

SummaryA full-matrix, three-dimensional refinement of kalsilite, KAlSi04 (hexagonal, a 5·16, c 8.69 Å, P6a), shows that the silicon and aluminium atoms are ordered. The respective tetrahedral distances of 1·61 and 1·74 Å agree with values of 1·61 and 1·75 Å taken to be typical of framework structures. As in nepheline, an oxygen atom is statistically distributed over three sites displaced 0·25 Å from the ideal position on a triad axis. This decreases the bond angle from 180° to 163° in conformity with observations on some other crystal structures. The potassiumoxygen distances of 2·77, 2·93, and 2·99 Å are consistent with the wide range normally found for this weakly bonded atom.

scholarly journals Implementation Barriers and Enablers for Preventing Domestic Violence against Women in Northwestern Ethiopia: A Qualitative Implementation Research

2021 ◽  
Author(s):  
Agumasie Semahegn ◽  
Kwasi Torpey ◽  
Adom Manu ◽  
Nega Assefa ◽  
Naana Agyeman ◽  
...  
Keyword(s):  
Domestic Violence ◽  
Violence Prevention ◽  
Violence Against Women ◽  
Intersectoral Collaboration ◽  
Implementation Barriers ◽  
Domestic Violence Against Women ◽  
Barriers To Implementation ◽  
The Many ◽  
Lack Of Commitment ◽  
Domestic Violence Prevention

Abstract Background: Ethiopia is signatory to various international and regional conventions, agreements and protocols related to violence against women, yet the many women suffer violence. To date, very little is known about how these conventions and protocols are implemented, and the barriers associated with implementation. Our study explored the barriers to implementation of domestic violence against women prevention policies and enablers in the Northwestern Ethiopia.Methods: We conducted in-depth interviews, key informant interviews and focus group discussions among a total of 43 participants purposefully selected from different sectors and communities. Data were transcribed, coded and thematically analyzed using NVivo 11 software.Results: Community-traditional gender-norms, budget constraints, poor planning and non-adherence to planned activities, lack of commitment, poor integration and inter-sectoral collaboration served as barriers to implementation of policies aimed at preventing domestic violence in Ethiopia. However, enablers of domestic implementation of violence prevention programs include community health extension program, women development ‘army’, policy frameworks, government’s political willingness, presence of school-based gender clubs.Conclusions: The implementation of existing evidence and policies was still poor at the community level due to lack of inter-sectoral collaboration, poor integration and stakeholders with competing priorities among others. Future intervention programs that would sustain and synergized domestic violence prevention, should integrate intersectoral collaboration and service within existing program.

scholarly journals Effects of transverse relationships between maxillary arch, mouth, and face on smile esthetics

2015 ◽  
Vol 86 (1) ◽  
pp. 135-141 ◽  
Author(s):  
Ke Zhang ◽  
Lan Huang ◽  
Lin Yang ◽  
Li Xu ◽  
Chaoran Xue ◽  
...  
Keyword(s):  
Young Female ◽  
Male And Female ◽  
Facial Region ◽  
Face Width ◽  
Wide Range ◽  
Left And Right ◽  
Smile Esthetics ◽  
Maxillary Arch ◽  
The Ideal

ABSTRACTObjective: To identify the ideal ratios between the widths of the maxillary arch, mouth, and face, respectively, and to determine the range of acceptable esthetic variations based on these ideal ratios.Materials and Methods: A photograph of a young female with a harmonious smile was selected and digitally altered to produce two sets of images. The first image showed an altered intercanine width, while the second one showed an altered oral fissure breadth. These alterations were independently rated by judges, including 23 orthodontists and 30 undergraduates. The Mann-Whitney U-test was used to compare the scores given by male and female judges and those given by professional and nonprofessional judges.Results: The following ideal transverse ratios were determined: intercanine width/oral fissure breadth, 0.638; oral fissure breadth/interparopia width: the distance between left and right paropia, 0.617; and intercanine width/face width at the level of the labial commissures, 0.300. A range of −10% to +10% was proposed as the thresholds of esthetic smile evaluations. It was shown that gender of the raters had no effect on the rating of photographs, nor were there any statistically significant differences between the professional and nonprofessional judges’ ratings.Conclusions: Balanced transverse relationships in the facial region are important for smile esthetics, and there is a wide range of esthetically acceptable variations in the transverse relationships between the maxillary arch, mouth, and face.

Geometric Three-Dimensional End-to-Side Microvascular Anastomosis: A Simple and Reproducible Technique

2017 ◽  
Vol 34 (04) ◽  
pp. 258-263 ◽  
Author(s):  
Adrian Ooi ◽  
Daniel Butz ◽  
Sean Fisher ◽  
Zachary Collier ◽  
Lawrence Gottlieb
Keyword(s):  
Three Dimensional ◽  
Free Tissue Transfer ◽  
Free Flaps ◽  
Suture Line ◽  
Success Rates ◽  
Recipient Vessel ◽  
Wide Range ◽  
Extremity Reconstruction ◽  
Geometric Technique ◽  
The Ideal

Background End-to-side (ETS) anastomoses are useful when preservation of distal vascularity is critical. The ideal ETS microanastomosis should maintain a wide aperture and have a smooth take-off point to minimize turbulence, vessel spasm, and thrombogenicity of the suture line. We have developed a unique, dependable, and reproducible geometric technique for ETS anastomoses, and analyze its efficacy in our series of patients. Methods The geometric ETS technique involves creating a three-dimensional (3D) diamond-shaped defect on the recipient vessel wall, followed by a slit incision of the donor vessel to create a “spatula” fitting this defect. This technique removes sutures from the point of most turbulent blood flow while holding the recipient vessel open with a patch vesselplasty effect. We perform a retrospective review of a single surgeon's experience using this technique. Results The geometric 3D ETS technique was used in 87 free flaps with a total of 102 ETS anastomoses in a wide range of cases including head and neck, trunk and genitourinary, and extremity reconstruction. Overall, free flap success rates were 98%. Conclusions The geometric 3D ETS technique creates a wide anastomosis, minimizes turbulence-inducing thrombogenicity, and mechanically holds the recipient vessel open. It is reliable and reproducible, and when performed properly has been shown to have high rates of success in a large group of free tissue transfer patients.

Generalization, similarity, and Bayesian inference

2001 ◽  
Vol 24 (4) ◽  
pp. 629-640 ◽  
Author(s):  
Joshua B. Tenenbaum ◽  
Thomas L. Griffiths
Keyword(s):  
Natural Kinds ◽  
Explanatory Power ◽  
Theoretic Model ◽  
Decay Function ◽  
Ideal Case ◽  
Basic Assumptions ◽  
Realistic Situation ◽  
Wide Range ◽  
Universal Law ◽  
The Ideal

Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting with some basic assumptions about natural kinds, he derived an exponential decay function as the form of the universal generalization gradient, which accords strikingly well with a wide range of empirical data. However, his original formulation applied only to the ideal case of generalization from a single encountered stimulus to a single novel stimulus, and for stimuli that can be represented as points in a continuous metric psychological space. Here we recast Shepard's theory in a more general Bayesian framework and show how this naturally extends his approach to the more realistic situation of generalizing from multiple consequential stimuli with arbitrary representational structure. Our framework also subsumes a version of Tversky's set-theoretic model of similarity, which is conventionally thought of as the primary alternative to Shepard's continuous metric space model of similarity and generalization. This unification allows us not only to draw deep parallels between the set-theoretic and spatial approaches, but also to significantly advance the explanatory power of set-theoretic models.

Successes and Challenges of Implementing a Lung Cancer Screening Program in Federally Qualified Health Centers: A Qualitative Analysis Using the Consolidated Framework for Implementation Research

2020 ◽  
Author(s):  
Caitlin G. Allen ◽  
Megan M. Cotter ◽  
Robert A. Smith ◽  
Lesley Watson
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Screening Program ◽  
Lung Cancer Screening ◽  
Pilot Project ◽  
Health Centers ◽  
Implementation Barriers ◽  
Successful Program ◽  
Barriers To Implementation ◽  
Facilitators And Barriers

Abstract Background: The American Cancer Society (ACS) partnered with two federally qualified health centers (FQHCs) and American College of Radiology designated lung cancer screening facilities on a two-year pilot project to implement lung cancer screening. The project aimed to develop a referral program and care coordination practices to move patients through the screening continuum and identify critical facilitators and barriers to implementation. Methods: Evaluators conducted key informant interviews (N=46) with navigators, clinical staff, administrators from both sites, and ACS staff during annual site visits in 2017 and 2018 to capture data on implementation barriers and facilitators. Three evaluators conducted a thematic analysis using the Consolidated Framework for Implementation Research (CFIR) and assessed factors associated with effective implementation and improved screening outcomes.Results: One study site established a sustainable lung screening program, while the other encountered numerous implementation barriers which they failed to overcome. CFIR constructs highlighted critical barriers and factors associated with success and improved outcomes. Intervention Characteristics: Time spent with patients and disruption to normal workflows were challenges to implementation at both sites. Outer Setting: Both sites struggled with building patient trust and worked to gain trust by providing clear, consistent information about the screening process. One site was located in a state with Medicaid expansion that reimbursed screening but the other was not. Inner Setting: Engaged, supportive leaders who provided clear, consistent communication about implementation helped improve staff capacity, which was critical to building a successful program. Individual Characteristics: Knowledgeable, confident champions and intervention leaders were able to train, guide, and motivate staff throughout the intervention, whereas the absence of supportive leadership failed to produce staff champions and intervention leaders. Process: A slow, stepwise approach to implementation at one site allowed project champions to pilot-test the referral and reimbursement processes and resolve issues before scaling-up.Discussion: This pilot project provides insight into critical resources and steps for successful program implementation in underserved FQHC settings. Future efforts could build upon these findings by considering self-assessment and monitoring tools that incorporate CFIR constructs to help identify and address possible facilitators and barriers to implementation of LDCT.

Health, sustainability, and climate change

2020 ◽  
pp. 382-392
Author(s):  
David Pencheon ◽  
Sonia Roschnik ◽  
Paul Cosford
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Diverse Group ◽  
Policy And Practice ◽  
System P ◽  
Wide Range ◽  
Care Systems ◽  
Barriers To Implementation ◽  
People Skills ◽  
Cross System

This chapter will help you understand the importance of, and the relationships between, health, health and care systems, sustainable development, and climate change, and to do so locally and globally. The specific objectives of the chapter are to help you: make the case for action by understanding how science, law, policies, and values can be framed and translated into specific and system wide actions; translate what is known and what protects and creates health into policy and practice, and help address barriers to implementation and quality improvement in health and care systems; engage a wide range of stakeholders to ensure appropriate cross-system action involving a diverse group of people, skills, and influences across the health and care system.

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