Active involved community partnerships: co-creating implementation infrastructure for getting to and sustaining social impact

Active involved community partnerships (AICPs) are essential to co-create implementation infrastructure and translate evidence into real-world practice. Across varied forms, AICPs cultivate community and tribal members as agents of change, blending research and organizational knowledge with relationships, context, culture, and local wisdom. Unlike selective engagement, AICPs enable active involvement of partners in the ongoing process of implementation and sustainability. This includes defining the problem, developing solutions, detecting practice changes, aligning organizational supports, and nurturing shared responsibility, accountability, and ownership for implementation. This paper builds on previously established active implementation and scaling functions by outlining key AICP functions to close the research-practice gap. Part of a federal initiative, California Partners for Permanency (CAPP) integrated AICP functions for implementation and system change to reduce disproportionality and disparities in long-term foster care. This paper outlines their experience defining and embedding five AICP functions: (1) relationship-building; (2) addressing system barriers; (3) establishing culturally relevant supports and services; (4) meaningful involvement in implementation; and (5) ongoing communication and feedback for continuous improvement. Planning for social impact requires the integration of AICP with other active implementation and scaling functions. Through concrete examples, authors bring multilevel AICP roles to life and discuss implications for implementation research and practice

Comparative life cycle assessment of lighting systems and road pavements in an Italian twin- tube road tunnel

This work calculates and discusses the Life Cycle Assessment (LCA) of four scenarios composed of two types of road pavements and two types of lighting systems to be built in an Italian twin-tube road tunnel. A 20-year time horizon is adopted to assess the burdens of construction and maintenance of both flexible and rigid pavements and high-pressure sodium (HPS) and lightemitting diode (LED) lamps, traffic, and switching on of lamps. All considered scenarios are comparable with each other in terms of technical performances, but significantly differ regarding their environmental consequences. The geometrical and technical characteristics of the examined scenarios comply with current Italian standards for highways. In all the examined cases, LCA is carried out according to the European standard, EN 15804, and includes 19 impact categories (IC). The analysis demonstrates that the use of more reflecting surface pavement materials (i.e., concrete vs. asphalt) and more performing lighting systems (i.e., LED vs. HPS) can effectively mitigate the deleterious burdens related to road construction, maintenance, and use. For most of the examined ICs, the most environment-friendly scenario has LED lamps and concrete pavement

Padronização da técnica de nanopartícula de ouro não modificada (AuNPs) para detecção de Actinobacillus pleuropneumoniae em pulmões de suínos.

Based on diagnostic tests for the detection of nucleic acids without amplification through the use of gold nanoparticles (AuNPs) have been described for various diseases. This study aimed to develop a technique of unmodified AuNPs to detect Actinobacillus pleuropneumoniae (App). We used 70 lung samples from pigs, 17 with and 53 without characteristic lesions of pneumonia, to detect App. The primer used was based on ApxIV gene. The AuNPs test had a sensitivity of 93.8% and specificity of 84.6% when compared with PCR detection. The results showed good agreement between AuNPs and PCR testing, and the technique can be used as an alternative to conventional tests, since it is quick and easy, and does not require implementation infrastructure and skilled labor

How Can We Move Clinical Genomics Beyond the Hype?

Examines the debate over increased use of genetic testing, due in part to lax regulation, and its consequences: wasteful spending, patient harm, and health system challenges. Makes recommendations for implementation of and data on promising technologies

XSRL: An XML web-services request language

One of the most serious challenges that web-service enabled e-marketplaces face is the lack of formal support for expressing service requests against UDDI-resident web-services in order to solve a complex business problem. In this paper we present a web-service request language (XSRL) developed on the basis of AI planning and the XML database query language XQuery. This framework is designed to handle and execute XSRL requests and is capable of performing planning actions under uncertainty on the basis of refinement and revision as new service-related information is accumulated (via interaction with the user or UDDI) and as execution circumstances necessitate change

A model-based approach for multiple QoS in scheduling: from models to implementation

Meeting multiple Quality of Service (QoS) requirements is an important factor in the success of complex software systems. This paper presents an automated, model-based scheduler synthesis approach for scheduling application software tasks to meet multiple QoS requirements. As a first step, it shows how designers can meet deadlock-freedom and timeliness requirements, in a manner that (i) does not over-provision resources, (ii) does not require architectural changes to the system, and that (iii) leaves enough degrees of freedom to pursue further properties. A major benefit of our synthesis methodology is that it increases traceability, by linking each scheduling constraint with a specific pair of QoS property and underlying platform execution model, so as to facilitate the validation of the scheduling constraints and the understanding of the overall system behaviour, required to meet further QoS properties. The paper shows how the methodology is applied in practice and also presents a prototype implementation infrastructure for executing an application on top of common operating systems, without requiring modifications of the latter

Evaluation of the Community Leadership Project 2.0: Midpoint Report

The Community Leadership Project (CLP) is a collaborative effort between the David and Lucile Packard Foundation, the James Irvine Foundation, and the William and Flora Hewlett Foundation to build the capacity of small, community-based organizations (community grantees) serving lowincome people and communities of color in the San Francisco Bay Area, the Central Coast, and the San Joaquin Valley regions of California. Now in its second phase, CLP 2.0 is specifically investing in increasing the sustainability of nearly 60 community-based organizations by focusing on common outcomes in three areas: resilient leadership, adaptive capacity, and financial stability. CLP 2.0 is characterized by integrated and intensive support for community grantees in the form of multi-year general operating support, selfdirected capacity building, coaching and mentoring, and a structured menu of leadership development and technical assistance options. These supports and opportunities are provided through partnerships with five regranting intermediaries and five technical assistance (TA)/leadership intermediaries