■ Implementation Models for Imperative Languages

2013 ◽  
pp. 222-251
Keyword(s):  
Implementation Models

Dissemination and Implementation in Social Service Settings

2017 ◽  
Author(s):  
J. Curtis McMillen ◽  
Danielle R. Adams
Keyword(s):  
Health Disparities ◽  
Social Services ◽  
Social Service ◽  
Careful Consideration ◽  
Lessons Learned ◽  
Health Interventions ◽  
Dissemination And Implementation ◽  
The Social ◽  
Implementation Models ◽  
Complex Settings

Social service settings offer numerous complexities in their staffing, consumers, and payer mix that require careful consideration in designing dissemination and implementation efforts. However, social services’ unique access to vulnerable populations with health problems may prove vital in efforts to improve the health status of many of our citizens and reduce health disparities. While a number of well-developed, blended dissemination and implementation models are being used in social service settings, they all require additional documentation, research, and field experience. Nonetheless, the lessons learned in the social services may help organizations in other sectors better implement health interventions with complex consumers in complex settings.

Governance and Accountability in Internet of Things (IoT) Networks

2020 ◽  
pp. 627-655
Author(s):  
Naomi Jacobs ◽  
Peter Edwards ◽  
Caitlin D. Cottrill ◽  
Karen Salt
Keyword(s):  
Internet Of Things ◽  
Public Space ◽  
Urban Infrastructure ◽  
New Information ◽  
Thematic Review ◽  
Governance Models ◽  
Implementation Models ◽  
Context Specific ◽  
Specific Implementation ◽  
Significant Attention

Societies and their underlying infrastructure are in the process of being transformed by digital technology, a change that requires updated legislation and governance structures to respond to new information contexts. One particular area of rapid growth is that of connected devices that are increasingly being deployed in the physical environment as part of the so-called Internet of Things (IoT). There has been significant attention by policymakers at both national and international levels as to the economic and social benefits these technologies can bring and how they can be effectively implemented, leading to a range of different governance models. Many of these models relate to larger scale deployments as part of “smart city” urban infrastructure programs. Unlike private sector Internet of Things devices, which require buy-in from individuals who voluntarily purchase technology and choose to use it, public space deployments can affect entire communities. They must therefore particularly include mechanisms by which citizens can be empowered. We present a thematic review of literature and policy pertaining to IoT governance models, and construct a framework of principles for IoT governance, highlighting emerging and remaining questions. Four emergent themes (Levels of Governance, Legitimacy and Representation, Accountability, and Transparency) are illustrated using case studies at two levels; national and supranational top-down governance models, and city-based context-specific implementation models.

scholarly journals Armed, Prohibited and Violent at Home: Implementation and Enforcement of Restrictions on Gun Possession by Domestic Violence Offenders in Four U.S. Localities

2021 ◽  
Author(s):  
Shannon Frattaroli ◽  
April M. Zeoli ◽  
Daniel W. Webster
Keyword(s):  
Domestic Violence ◽  
Violence Prevention ◽  
Intimate Partner Homicide ◽  
State Laws ◽  
Protective Orders ◽  
Implementation Models ◽  
Domestic Violence Prevention ◽  
Depth Interviews ◽  
Insight Into

AbstractFirearms increase the risk of lethality in violent intimate relationships. Policies that restrict access to firearms by respondents to civil domestic violence protective orders (DVROs) are associated with reductions in intimate partner homicide, yet there is scant literature about how such prohibitions are implemented. We document how four localities are implementing gun possession prohibitions that result from civil and criminal restraining orders and domestic violence misdemeanor convictions; and assess the findings in the context of Kingdon’s agenda setting framework. We identified four jurisdictions where gun dispossession of prohibited domestic violence offenders was underway and collected data through in-depth interviews, site visits, and documents. We coded the data, identified explanatory themes, and compared the findings to Kingdon’s framework. The four jurisdictions have policies ranging from no state laws restricting domestic violence offenders’ access to guns to comprehensive state laws. We describe implementation initiatives to dispossess prohibited people of their guns in the four jurisdictions, two distinct implementation models through which gun dispossession occurs, and an expanded application of Kingdon’s model. In each jurisdiction, we identified one or more individuals who championed implementation. Policies that prohibit domestic violence offenders from possessing guns are promising, and possible in diverse settings and jurisdictions. Here we provide insight into implementation efforts in four jurisdictions, emphasize the role of individuals in prioritizing implementation, and highlight the potential to realize these restrictions across states with different laws. Focusing on implementation is a much-needed paradigm shift that complements the traditional focus on passing domestic violence prevention laws.

A Study on the Future-Oriented Curriculum Implementation Models in Combined Primary and Middle Schools

2021 ◽  
Vol 39 (1) ◽  
pp. 65-92
Author(s):  
Mi-kyung Chung ◽  
Sang-Eun Lee ◽  
Sang-Wan Park ◽  
Yun-Kyung Min
Keyword(s):  
Middle Schools ◽  
Curriculum Implementation ◽  
The Future ◽  
Implementation Models

scholarly journals Assessing determinants of PPP project performance

2018 ◽  
Vol 36 (1) ◽  
pp. 67-85 ◽  
Author(s):  
Raghu Rama D.T.V. Swamy ◽  
Piyush Tiwari ◽  
Anil Sawhney
Keyword(s):  
Drinking Water ◽  
Project Performance ◽  
Specific Reference ◽  
Water Sector ◽  
Content Type ◽  
The Public ◽  
Baseline Information ◽  
Implementation Models ◽  
Urban Drinking Water ◽  
Project Structure

Purpose The purpose of this paper is to understand the factors that affect the performance of projects being implemented on the public-private partnership (PPP) framework, with specific reference to urban drinking water sector in India. Design/methodology/approach A listing of factors that have a bearing on project performance have been developed based on a review of the literature. Through a survey, seven factors that are relevant to the Indian context were determined. Interviews were then conducted across a cross-section of government agencies, financial institutions, development agencies, private sector entities and consultants to understand the relative importance of these attributes. The analytical hierarchy process was used to develop relative weights of these factors. Findings Ranking and relative weights of the factors in descending order are stakeholder consent and support for water PPP projects (22.1 percent), appropriate project structure (17.4 percent), availability of realistic baseline information (16.2 percent), reasonable water tariffs (13.9 percent), public sector capacity (13.0 percent), well-developed market (9.5 percent) and water sector regulator (7.9 percent). Differences in perceptions amongst various stakeholder groups were also found. Research limitations/implications Water sector has not matured, and with the advent of newer formats of implementation models, there could be significant changes in the sector. As the number of projects available for study is limited, this exercise can be undertaken periodically and updated in relation to experiences in other infrastructure sectors. Practical implications This analysis provides inputs to policymakers and project proponents for structuring more sustainable urban drinking water PPP projects. Originality/value Indian infrastructure PPP market is attracting increased attention from researchers, though not much emphasis is being given to urban drinking water sector. This paper aims to contribute toward filling this research gap.

Selection

1996 ◽  
Author(s):  
Thomas Bäck
Keyword(s):  
Model Selection ◽  
Evolutionary Algorithms ◽  
Evolutionary Biology ◽  
Disruptive Selection ◽  
Stabilizing Selection ◽  
Intermediate Phenotypes ◽  
Biological Reality ◽  
Survival And Reproduction ◽  
Implementation Models ◽  
Selection Operator

The genetic operators summarized in the set Ω, i.e. mutation and recombination (and probably others, e.g. inversion) create new individuals in a completely undirected way. In Evolutionary Algorithms, the selection operator plays a major role by imposing a direction on the search process, i.e. a clear preference of those individuals which perform better according to the fitness measure Φ. Selection is the only component of Evolutionary Algorithms where the fitness of individuals has an impact on the evolution process. The practical implementations of selection as discussed in sections 2.1.4, 2.2.4, and 2.3.4 seemingly contradict the biological viewpoint presented in section 1.1, where natural selection was emphasized not to be an active force but instead to be characterized by different survival and reproduction rates. However, artificial implementation models and biological reality are not necessarily contradicting each other. While in biological systems fitness can only be measured indirectly by differences in growth rates, fitness in Evolutionary Algorithms is a direct, well-defined and evaluable property of individuals. The biological struggle for existence (e.g. by predator-prey interactions, capabilities of somatic adaptation, and the particular physical properties of individuals) has no counterpart in computer implementations of standard Evolutionary Algorithms. Therefore, an artificial abstraction of these mechanisms can use fitness measures to determine survival and reproduction a posteriori, since the struggle for existence is completely hidden in the evaluation process of individuals. The fact that different survival and reproduction constitute selection is valid in both cases, but in Evolutionary Algorithms fitness is measurable and implies the survival and reproduction behavior, which is just opposite to biological reality. This is simply an implication of the fitness-centered intention which necessarily prevails design and application of these algorithms. Therefore, it is just a logic consequence to model selection as an active, fitness-based component of Evolutionary Algorithms. However, how to model selection is by no means a simple problem. In evolutionary biology, it is usually distinguished between stabilizing, directed, and disruptive selection (see [Fut90], pp. 174–175). In the case of stabilizing selection, intermediate phenotypes have best fitness values, while disruptive selection is characterized by two or more distinct phenotypes that are highly fit and by intermediate phenotypes of low fitness (this assumes an - albeit unknown - ordering of phenotypes).

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