287 research outputs found
Assessment of local land and water institutions in the Blue Nile and their impact on environmental management
Land and water institutions play a vital role in managing and sustaining land and water resources as well as enhancing economic development and poverty alleviation efforts. While a lot has been done in terms of understanding the micro-determinants of farmers’ decisions in land and water conservation, there is little attempt to understand the broad macro-institutional and organizational issues that influence land and water management decisions. The objective of the study was to assess institutional arrangements and challenges for improved land and water management in the Ethiopian part of the Blue Nile Basin (Tana and Beles subbasins). Focus group discussions and key informant interviews were held in Amhara and Benishangul Gumuz regions with important stakeholders such as the bureaus of Agriculture and Rural Development, Water Resources Development, Environmental Protection and Land Use Administration (EPLUA), National Agricultural Research Systems, and important NGOs, operating in the area of land and water management, and selected community members. As the major findings in this study, we outlined major land and water-related institutional arrangements that are currently in place and their design features, in order to identify those institutions related to superior performance. We highlighted major institutional and policy gaps and actions that are required to respond to emerging issues of environmental degradation, upstream/downstream linkages and climate change. Such analysis of institutions and their design features provides useful insights and contributes to the debate on institutional reform for improved land and water management in the Blue Nile Basin, in general. By doing so, it identifies the gaps in institutional arrangements and policies and potential remedies.Length: pp.185-231InstitutionsOrganizationsWater policyRiver basinsWater managementLand managementWatershed management
Transboundary water governance institutional architecture: reflections from Ethiopia and Sudan
Transboundary water resource governance is premised on equitable water and water-related benefit sharing. Using the case of the Blue Nile (Ethiopia and Sudan), we explore the conceptual issues that need consideration in the crafting of cross-border cooperation within the water sector. First, drawing on global experiences with transboundary water management, we evaluate how upstream and downstream concerns are addressed by transboundary water management institutions. Second, we explore the kinds of institutional design and the issues which need to be considered to result in ‘win-win’ scenarios for both upstream and downstream users, as well as the mechanisms of benefit sharing negotiated amongst different stakeholders. Third, we examine ways of addressing equity and livelihoods in transboundary institutional arrangements. Finally, we attempt to assess how transboundary institutions can address broader historical, political and economic issues and their implications for sustainable transboundary water governance. This paper raises key issues that need to be addressed in establishing transboundary governance institutions.Length: pp.246-253Water governanceInstitutionsInternational watersInternational cooperationRiver basin management
Does investment in motor pump-based smallholder irrigation lead to financially viable input intensification and production? An economic assessment
Molecular Markers for Sensitive Detection of Plasmodium falciparum Asexual Stage Parasites and their Application in a Malaria Clinical Trial.
Plasmodium falciparum parasite life stages respond differently to antimalarial drugs. Sensitive stage-specific molecular assays may help to examine parasite dynamics at microscopically detectable and submicroscopic parasite densities in epidemiological and clinical studies. In this study, we compared the performance of skeleton-binding protein 1 (SBP1), ring-infected erythrocyte surface antigen, Hyp8, ring-exported protein 1 (REX1), and PHISTb mRNA for detecting ring-stage trophozoite-specific transcripts using quantitative reverse transcriptase polymerase chain reaction. Markers were tested on tightly synchronized in vitro parasites and clinical trial samples alongside established markers of parasite density (18S DNA and rRNA) and gametocyte density (Pfs25 mRNA). SBP1 was the most sensitive marker but showed low-level expression in mature gametocytes. Novel markers REX1 and PHISTb showed lower sensitivity but higher specificity for ring-stage trophozoites. Using in vivo clinical trial samples from gametocyte-negative patients, we observed evidence of persisting trophozoite transcripts for at least 14 days postinitiation of treatment. It is currently not clear if these transcripts represent viable parasites that may have implications for clinical treatment outcome or transmission potential
Emotional Resilience Emerges as Novel Aspect of Meta-Mood Experience: A Confirmatory Factor Analysis Accounting for Data Censoring
Meta-mood experience refers to the thoughts and feelings that serve to monitor, evaluate, and at times change mood. The Trait Meta-Mood Scale (TMMS) was designed to gauge meta-mood experience along three factors: Attention, Clarity, and Repair. Previous factor analyses have verified this three-factor structure. However, one study by Palmer and colleagues found strong support for a four-factor structure. In light of this discrepancy, the present study aimed to replicate Palmer and colleagues’ study in a new sample, comparing the models they used to determine which is best-fitting. We also aimed to correct the effect of data point censoring when estimating the factor models. Data point censoring occurs when researchers have only partial information about the value of a variable. Because no previous research has explored the TMMS while accounting for potential censoring, we aimed to test this idea in the current sample. A total of 202 undergraduates completed the TMMS during an online study. To compare the models, we relied on Akaike’s Information Criterion (AIC) and Bayesian Information Criterion (BIC). Results revealed that the four-factor model fit the data better than the three- and one-factor models tested. In the four-factor model, the first three factors corresponded to the previous Attention, Clarity, and Repair factors. We named the fourth factor Emotional Resilience because the items loading on this factor suggested resistance to negative emotional experiences. We suggest TMMS users calculate scale scores based on all four of these factors to provide a more detailed description of meta-mood experience
Assessing Depression Improvement with the Remission Evaluation and Mood Inventory Tool (REMIT)
Objective
The Remission Evaluation and Mood Inventory Tool (REMIT) was developed as a brief complementary measure to provide a more robust assessment of depression improvement than tracking DSM-V symptom improvement alone. This study provides further validation of the REMIT tool and examines its utility in predicting depression improvement.
Methods
The sample comprised 294 primary care patients enrolled in a telecare trial of pain plus depression and/or anxiety. Assessments collected included: REMIT, PHQ-9 and measures assessing anxiety, pain, sleep, fatigue, somatization, health-related quality of life and disability. Data was analyzed to assess the REMIT's validity, its minimally important difference (MID), and its utility in predicting 6-month depression improvement.
Results
Convergent and construct validity of REMIT was supported by moderate correlations with mental health measures and weaker correlation with physical health measures. MID of approximately 2 points for REMIT was estimated by two metrics: 0.5 standard deviation and 1 standard error of measurement. Both baseline and 3-month change in REMIT scores predicted depression improvement at 6 months. Indeed, REMIT was as good or better predictor than the PHQ-9.
Conclusion
The REMIT measure is a brief 5-item tool that augments core DSM-V symptom-oriented metrics in assessing and predicting recovery from major depression
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