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Many individuals in drug treatment courts (DTCs) have co-occurring mental health and substance use disorders (COD), which can negatively impact treatment engagement, behavioral health and criminal justice outcomes. This paper aims to report results of DTC participants with a COD, who received a 12-month wraparound treatment intervention called MISSION-Criminal Justice (MISSION-CJ) alongside DTC to improve treatment engagement and behavioral health outcomes and reduce reincarcerations.

In this pre-post, single-group pilot, 48 clients enrolled and 81% completed 12-month follow-up assessments (N = 39) and weekly MISSION-CJ fidelity for type and intensity of services delivered. Generalized linear mixed models (GLMMs) were computed with a fixed term for fidelity (e.g. high or low MISSION-CJ), time and a fidelity x time interaction term.

Among participants, at 12 months, 81% of the participants remained engaged in treatment at study completion, and 89% had high MISSON-CJ fidelity. Clients demonstrated significant reductions from baseline to 12 months in average nights in jail (B = −0.1849511, p < 0.0344), mental health symptoms via the Behavior and Symptom Identification Scale (BASIS) total and subscale scores (B = −0.121613, p < 0.0186) and trauma symptoms on the PTSD Checklist-5 (PCL-5) (B = −0.928791, p < 0.0138). High MISSION-CJ fidelity further improved criminal justice, and behavioral health outcomes.

This was the first reported 12-month MISSION-CJ trial. While feasible to implement, given the design limitations, future research should include a large randomized controlled trial.

The purpose of this research is to determine the convenience of using a contract model as an integration mechanism for decision-making in a decentralized supply chain of small agricultural producers in a developing country, taking as hypothesis coordinated chain achieves better management. The analysis is based on information obtained by direct inquiry to 99 small producers in the region, about planning, production, marketing and distribution in the chain, supplemented with secondary information sources.

As a methodology an analysis of maturity in the chain based on the Capability Maturity Model Integration is done, whose evaluation is later analyzed as a fuzzy logic model, with the support of the fuzzy logic of the MATLAB toolbox, to study the convenience of the use of the contract against the other mechanisms, and to establish an approximation to the level of readiness of the chain toward integration.

Results obtained show that the small farmer supply chain studied, from a maturity perspective, has a strong disposition for the use of contracts as an integration mechanism.

The supply chain for small producers presents a high dispersion, little consolidated offer capacity and lack of coordination. Limitations in terms of information and criteria unification are a challenge for future research. Results have socioeconomic implications for small producers and can serve as a guide to formulate policies by the governments in Latin American countries.

As practical implications, it can be stated that the use of supply contracts is a real mechanism that can be implemented in this type of chain, to break the mistrust between the echelons and improve the supply chain performance. This research will allow to establish support programs from local governments for the sustainability and improving income of small producers. In addition, contracts will allow to formalize the linkage of small producers to a sustainable commercial network.

Small agricultural producers in developing countries live in unfavorable conditions, with socioeconomic limitations. This work offers an alternative for their productive activity development that will allow them access to marketing chains in a safe way and improve their living conditions.

Previous studies related to the maturity toward the chain integration and fuzzy logic as a hybrid methodology, were not found in the literature, and less even applied to a chain of small agricultural products.

The purpose of this paper is to explore the hypothesis that collaboration was a key characteristic of Cuban science to maintain their scientific capacity during a period of economic restrictions and an important feature of Cuban science policy and practice for the benefit of society.

Collaboration was studied through Cuban scientific publications listed in PubMed for the period 1990-2010. The search was carried out using the advanced search engine of PubMed indicating < Cuba > in the affiliation field. To identify participating institutions a second search was performed to find the affiliations of all authors per article through the link to the electronic journal. A data set was created to identify institutional publication patterns for the surveyed period. Institutions were classified in three categories according to their scientific production as Central, Middle or Distal: the pattern of collaboration between these categories was analysed.

Results indicate that collaboration between scientifically advanced institutions (Central) and a wide range of national institutions is a consequence of the social character of science in Cuba in which cooperation prevails. Although this finding comes from a limited field of biomedical science it is likely to reflect Cuban science policy in general.

Using bibliometric tools the study suggests that Cuban science policy and practice ensure the application of science for social needs by harnessing human resources through national and international collaboration, building in this way stronger scientific capacity.