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20 results for “Improvement Opportunities”
Accompanying material to the Inventory of opportunities and bottlenecks in policy to facilitate the adoption of soil-improving techniques
<p>Inventory of policies at EU and country level for the inventory and analysis of bottlenecks and opportunities in sectoral and environmental policies to facilitate the adoption of Soil-Improving Cropping Systems (SICS).</p>
Data from: Mapping threatened Thai bovids provides opportunities for improved conservation outcomes in Asia
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Dataset - Hot spots of opportunity for improved cropland nitrogen management across the United States
<p>Dataset for manuscript "Hot spots of opportunity for improved cropland nitrogen management across the United States"</p>
Conservation opportunities through improved management of recently established protected areas in Southeast Asia
<p> </p> <ul> <li>The 'Table_PA_info' contains information on all 80 Protected Areas analyzed in this study.</li> <li>The 'Synth_plots' includes synthetic control model fits for all 80 Protected Areas analyzed in this study. The number displayed on the top-left of each plot corresponds to the WDPA-ID of the respective protected area. For further details on each protected area, please refer to the 'Table_PA_info' document.</li> <li>The 'placebos' document consists of placebo test plots. The number on the top-left of each plot indicates the WDPA-ID of the protected area. Refer to the 'Table_PA_info' document for more information on each protected area.</li> </ul>
Replication Package for: Caught between Cultures: Unintended Consequences of Improving Opportunity for Immigrant Girls
<p>The package contains all the data and code necessary to reproduce the figures and tables in Dahl, Felfe, Frijters, and Rainer (forthcoming). "Caught between Cultures: Unintended Consequences of Improving Opportunity for Immigrant Girls", Review of Economic Studies.</p>
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
Purpose: This retrospective cross-sectional study aimed to identify opportunities for improvement in food and nutrition research by examining risk of bias (ROB) domains. Methods: Rating were extracted from critical appraisal records for 5675 studies used in systematic reviews conducted by three organizations. Variables were as follows: ROB domains defined by the Cochrane Collaboration (Selection, Performance, Detection, Attrition, and Reporting), publication year, research type (intervention or observation) and specific design, funder, and overall quality rating (positive, neutral, or negative). Appraisal instrument questions were mapped to ROB domains. The kappa statistic was used to determine consistency when multiple ROB ratings were available. Binary logistic regression and multinomial logistic regression were used to predict overall quality and ROB domains. Findings: Studies represented a wide variety of research topics (clinical nutrition, food safety, dietary patterns, and dietary supplements) among 15 different research designs with a balance of intervention (49%) and observation (51%) types, published between 1930 and 2015 (64% between 2000-2009). Duplicate ratings (10%) were consistent (k=0.86-0.94). Selection and Performance domain criteria were least likely to be met (57.9% to 60.1%). Selection, Detection, and Performance ROB ratings predicted neutral or negative quality compared to positive quality (p<0.001). Funder, year, and research design were significant predictors of ROB. Some sources of funding predicted increased ROB (p<0.001) for Selection (Interventional: industry only and none/not reported; Observational: other only and none/not reported) and Reporting (Observational: university only and other only). Reduced ROB was predicted by combined and other-only funding for intervention research (p<0.005). Performance ROB domain ratings started significantly improving in 2000; others improved after 1990 (p<0.001). Research designs with higher ROB were nonrandomized intervention and time series designs compared to RCT and prospective cohort designs respectively (p<0.001). Conclusions: Opportunities for improvement in food and nutrition research are in the Selection, Performance, and Detection ROB domains.
Data from: Opportunities to catalyze improved healthcare access in pluralistic systems: a cross-sectional study in Haiti
<p><b>Introduction. </b>Gains to ensure global healthcare access are at risk of stalling because some old resilient challenges require new solutions. Our objective was to identify determinants of intended versus actual care-seeking behaviors in a pluralistic healthcare system that is reliant on both conventional and non-conventional providers and discover opportunities to catalyze improved healthcare access.</p> <p><b>Methods.</b> A cross-sectional study was conducted among households with children less than 5 years of age in Haiti. Households were randomly sampled geographically with stratifications for population density. Household questionnaires with standardized cases (intentions) were compared to self-recall of health events (behaviors). The connectedness of households and their providers was determined by network analysis.</p> <p><b>Results.</b> A total of 568 households (incorporating 2900 members) and 65 providers were enrolled. Households reported 636 health events in the prior month. Households sought care for 35% (n=220) and treated with home remedies for 44% (n=277). The odds of seeking care increased 217% for severe events (aOR=3.17; 95%CI 1.99-5.05; p< 0.001). The odds of seeking care from a conventional provider increased by 37% with increasing distance (aOR=1.37; 95%CI 1.06-1.79; p=0.016). Despite stating an intention to seek care from conventional providers, there was a lack of congruence in practice that favored non-conventional providers (McNemar's Chi-squared Test p<0.001). Care was sought from primary providers for 68% (n=150) of cases within a three-tiered network; 25% (n=38/150) were non-conventional.</p> <p><b>Conclusion.</b> Addressing geographic barriers, possibly with technology solutions, should be prioritized to meet healthcare seeking intentions while developing approaches to connect non-conventional providers into healthcare networks when geographic barriers cannot be overcome.</p>
Experiment results for paper about discovery of improvement opportunities in knock-out checks of Business Processes
<p>This dataset contains the results (in .csv format) of experiments performed using the code from the paper "Minimizing Overprocessing Waste via Predictive Activity Ordering" (https://doi.org/10.1007/978-3-319-39696-5_12).</p> <p>Each file corresponds to an execution of the entire training & evaluation pipeline, each time with different random subsets of the full dataset. They contain the number of knockout checks performed with 3 different approaches (variable rejection probabilities, constant rejection probabilities, and random ordering).</p>
Pre-eclampsia and Future Cardiovascular Health: An Underused Opportunity to Improve Family Health
ClinicalTrials.gov study NCT04676295. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Opportunities for Antibiotic Optimisation and Outcomes Improvement in Patients With Negative Blood Culture (NO-BACT)
ClinicalTrials.gov study NCT03535324. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
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Data from: Opportunities to catalyze improved healthcare access in pluralistic systems: a cross-sectional study in Haiti
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Identifying Improvement Opportunities in Software Engineering Education at the Maranhão State: Listening to Voices from Academy and Industry
<p>The teaching of Software Engineering (SE) has become challenging due to the large amount of content taught and the constant evolution of the software industry, directly impacting the requirements necessary to apply for a position in the area of Information Technology (IT). In this context, it is clear that students of computer courses still find it difficult to know how to prepare for the job market, and Higher Education Institutions (HEIs) may have difficulties in aligning themselves with market expectations with their syllabus in SE. This paper aims to provide a holistic view of the teaching-learning process, involving the views of students, HEIs and IT companies in the context of the state of Maranhão; and to propose reflections on the current state of the education to complement the contents and methodologies applied in the classroom with the needs of the local industry. To do so, three activities were carried out: (1) mapping expectations and evaluating higher education from the students’ point of view; (2) analysis of higher education disciplines in higher education institutions in the state of Maranhão in Brazil; and (3) survey of expectations of the IT market considering the vacancies disclosed in relation to the SE area in the state of Maranhão. The results indicate a partial fulfillment of the demand regarding the taught topics related to SE from the local industry by the HEIs. In addition, there is a need to improve the teaching-learning methodological processes, focusing on practical activities and the learning of teamwork skills, in addition to knowledge in software development.</p>
CHALLENGES AND OPPORTUNITIES FOR IMPROVING THE INVESTMENT CLIMATE IN UZBEKISTAN
<p>The research work aims to develop scientific and practical recommendations for improving the investment climate in Uzbekistan.<strong> </strong>In recent years,<strong> </strong>owing to the immensity of the challenges and a lack of institutional and human capacity, the government will have to focus on tackling the impact of the COVID-19 pandemic and the related economic fallout (including the collapse of global energy prices, reduced Chinese demand and the return of labor migrants from abroad.)This presentation aims to give some insights into the investment environment and the analyses of factors influencing it. The findings of the study will benefit both local investors and foreign investors who are interested in assessing investment opportunities in Uzbekistan.</p>
Supplementary material 1 from: Bradshaw CJA (2019) Opportunities to improve the future of South Australia's terrestrial biodiversity. Rethinking Ecology 4: 45-77. https://doi.org/10.3897/rethinkingecology.4.32570
: Data type: Literature review
Ghrelin - A Possible Opportunity to Improve Appetite
ClinicalTrials.gov study NCT00681486. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Improving Healthy Living Opportunities: Laurel HARVEST
ClinicalTrials.gov study NCT06438003. IPD Sharing: NO. Countries: 1. Publications: 0.
Realizing Opportunities for Self-Supported Improvement (ROSSI)
ClinicalTrials.gov study NCT03016481. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gene expression analysis in recessive dystrophic epidermolysis bullosa skin highlights drug repurposing opportunities to improve wound healing
GEO Series GSE171405. Homo sapiens. 18 samples. Type: Expression profiling by array.
RURAL TOURISM AS AN OPPORTUNITY TO IMPROVE LIVING STANDARDS IN RURAL AREAS
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.