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6,782 results for “project”
Master Index for Publicly accessible Data : SPPELME project
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Dataset belonging to SNF project: Use of physiologically based pharmacokinetic modelling to simulate dosing requirements of long-acting intramuscular antiretroviral drugs in special populations and to manage drug-drug interactions
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RISK MANAGEMENT AND PERFORMANCE OF ROAD BUSANZA -MUYANGE CONSTRUCTION PROJECT IMPLEMENTED BY NYARUTARAMA PROPERTY DEVELOPER (NPD LTD) IN KICUKIRO DISTRICT
<div> <p><span>The study was conducted on Risk management and performance of Construction projects implemented by NPD Ltd, the study specifically will be conducted in NPD Ltd, the target population was <span>600</span> employes and <span> </span>sample size was undertaken to be <span>86</span> respondents </span><span>Study used<span> </span>descriptive statistics and inferential statistics, both qualitative and quantitative were used to analyse the data with assistance of SPSS software program version 25.0 ,</span><span>descriptive statistics and inferential statistics were used to present frequencies tables, percentages, mean and standard deviation and Inferential analysis was used in order to use Pearson correlation and multiple regression model to test the relationship between the independent variables and dependent variable.</span><span>Descriptive statistics to produce frequency tables, percentages and mean. Inferential statistics were used in order to give person correlation and multiple regression models to test and draw relationship between variables both for independent band dependent, the relationship between risk planning and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district w</span><span>as <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.60,</span></span><span> the relationship between risk response and performance of construction projects implemented</span><span> by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.49,</span></span><span> </span><span>to examine the relationship between risk mitigation and performance of construction projects</span><span> implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.27 and </span>the data on </span><span>performance of project </span><span>was</span><span> analyzed, the overall means of results was </span><span>4.52</span><span>.</span><span> Depending on the results, it presented that the performance of project was on good grades. It indicated that the relationship between risk management and performance of project on road construction between risk planning, risk analysis, risk response and risk mitigation and performance was <span>0.617, 0.855 ,0<sup> </sup>.867and 0.827</span> </span><span>respectively, and the results presented than the variables were statistically significant with p value=0.000b</span><span>.</span><span> The results present the variables of Risk management; <span>Risk Planning, </span>was not statistically significant with p value=0.479<sup>b</sup>, the <span>Risk Analysis</span> was statistically significant with p value=0.010<sup>b</sup>, and the <span>Risk Response</span> was statistically significant with p value=0.000<sup>b</sup>. And the <span>Risk Mitigation</span> was statistically significant with p value=0.000<sup>b</sup>. </span><span>It concluded that there was a significant relationship between risk management and performance of project. The study recommended that</span><span><span> MINFRA should</span></span><span> mobilize Rwandans to</span><span> be involved in construction activities in order to earn money as the sector engage many labors. </span></p> </div> <p><strong><span> </span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>Keywords: </span></strong><span>Risk management, performance, Road construction project and implementation </span></p>
Survey dataset for project "US-based legal interpreters and their use of academic research"
<p>Dataset of article entitled <span>US-based legal interpreters and their use of academic research: expectations, practices, and potential for collaboration between academia and the profession. Includes survey questions (PDF) and survey raw data (Excel, .xlsx file)</span></p>
Analysis of ([Hmim][OTf])3Zn - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Dataset contains results obtained during the NCN project OPUS, grant no. 2020/37/B/ST8/00693. The file presents DSC analysis of ([Hmim][OTf])3Zn.</p>
Agripreneurship is coming of age. Opportunities for Youth and Women Empowerment in UPSCALE PROJECT.
<p>Unemployment is among the problems that most developing economies are facing. These regions rely <br>on agriculture for their livelihood and most of the farming systems are ineffective. Nevertheless, the <br>agricultural sector employs the largest population in both the formal and informal. Self-employment <br>through innovative ideas that develop products or produce cost-effectively, or a production process <br>that is eco-friendly to promote biodiversity or value addition through processing, storage, packaging, <br>or differentiation of the agricultural products is what is termed as agriprenourship. The aim is to make <br>the production process affordable, sustainable, profitable, and optimal at the same time maintain the <br>ecosystem. Agreprenourship is highly evident in production technologies such as the PPT technology <br>that has been promoted by the UPSCALE project in the region. The project has offered women and <br>youth opportunities to participate in research, production, value addition, and marketing of the <br>products produced under the system. Women have been able to produce organic products, control <br>the striga weed, and fall armyworms, promote soil fertility, prevent soil erosion, produce fooder, <br>practice dairy farming, and production of desmodium seeds. Through this, household food security has <br>been attained, increased income, reduced dependency ratio, reduced poverty, creation of <br>employment, and improved standard of living. Agriprenourship is an important enterprise currently for the <br>youths and women as it offers a range of opportunities from economic, social, and environmental benefits in <br>the initiatives such as PPT farming in the UPSCALE project. Therefore, it is recommended that there is a need for <br>Policy dialogue in both the seed and product value chains to create enabling policies that can upscale the PPT <br>farming system, subsidize the inputs, and establish effective extension methods, advocacy, and lobbying <br>government authorities to promote PPT. </p>
Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects
<p>This is the replication package for the paper “Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects”.</p> <p>In project_curation_selection, there is the curation process of the 100 selected projects including the identification of GitHub repositories and classification of evolution scenarios. </p> <p>In distribution_commits_issues_contributors_market_value_before_after_deploy, data collection from GitHub projects includes the distribution of total commits, contributors, and issues before and after deployment of each investigated project. </p> <p>In analysis_commit_messages, there is qualitative analysis of commit message content from all investigated projects. </p> <p>In the analysis_contributors section, the data focuses on analyzing the profiles of each GitHub contributor involved in the investigated projects.</p> <p>In analysis_market_value_by_project, data refers to the market value and volume of each investigated project. </p> <p>In codes, there are scripts used to obtain the analyzed data.</p> <p> </p>
In-house WGS Datasets Generated for GenRiskPro Project
<p>The dataset for the <strong>GenRiskPro </strong>Project manuscript.</p> <p>The new data generated in this project includes:</p> <ol> <li>Whole genome sequencing (WGS) for 275 project participants, sampled and sequenced from Turkiye.</li> <li>Analysis output from the analysis pipeline, which generates candidate variants lists for each individual from the in-house Turkish cohort (TR) and a Swedish cohort (SW), regarding their known pathogenic variants, potential pathogenic variants, GWAS significant and Pharmacogenetics associated variants.</li> </ol> <p>In this repository, we included all original result files used for generating reports from the TR and SW cohorts. These are output files from the GenRiskPro pipeline.</p>
Dataset related to epilepsy phase 1 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to epilepsy phase 1 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).</p>
Dataset related to epilepsy phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to epilepsy phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).</p>
Serbian Intangible Cultural Heritage in the Western Balkans: Perils and Prospects of Inclusive Research and Safeguarding (SICHWEB) project 1st year datasets
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UNCHAIN_Project_DELPHI_1stROUND_2ndROUND
<p>This dataset contains the results generated in the Delphi questionnaire, performed within the UNCHAIN project (https://unchainproject.eu/, a EU HorizonEurope research and innovation project under grant agreement Nº 101103812), and particiapted by the professionals of the project consortium (mobility professionals, city council administrators, logistics professionals, technology developers and consultancy professionals). </p> <p>The Delphi included two rounds: the first (1st) round was focused in indentifying Stoppers-Values-Recommendations for urban logistics through an in person workshop, while the second (2nd) round was an online questionnaire, to assess the agreement level around the results obtained in the 1st round. </p>
RootPainter Paper Project Files
<p>Additional project files related to the paper 'RootPainter: deep learning segmentation of biological images with corrective annotation'.</p>
DSC_PROJECT#21000_PAERL_UNC_DATA
<p><span>This interdisciplinary project involved several researchers (PI: Hans Paerl, UNC-CH) and community partners (USGS Sacramento, Restore the Delta, CA-Department of Water Resources) and spanned two consecutive summers in the San Francisco Bay Delta. Field and experimental work was completed during summers 2022 and 2023 at Discovery Bay and Stockton, California, USA. </span></p>
Influence of Project Planning on Performance of Housing Construction Projects in Rwanda: case of Silver Back Mall and Makuza Building Projects in Kigali City
<p><span>The study investigated the </span><span>influence of project planning on performance of Housing Construction Projects in Rwanda. </span><span>The study has the specific objectives of</span><span> determining the influence of project scope planning on performance of housing construction project in Kigali City;</span><span> t</span><span>o establish the influence of project resource planning on performances of housing construction project;</span><span> and t</span><span>o analyze the influence of project risk planning on</span><span> performance of </span><span>housing construction projects performances of housing construction project. <span>The descriptive research design and </span></span><span>correlative approach were used. </span><span>Target population was 161 staff in the housing construction and </span><span>sample size was 161 respondents selected using census survey sampling. Data collection methods were questionnaire and documentary analysis.<span> </span>Methods of analysis were <span>descriptive statistic method; correlation coefficient and </span></span><span>multiple linear regression analysis models.</span><span><span> </span>The findings revealed that correlations between project planning factors and the performance of housing construction projects are highly significant (Sig. = 0.000) and strongly positive. In this model, the R-value is 0.948, indicating a strong positive linear relationship between the predictors and the dependent variable. This means that the independent variables collectively explain 94.8% of the variation in the dependent variable. In this model, the R-Square value is 0.899, which means that approximately 89.9% of the variation in the Performance of housing construction projects can be explained by the predictors included in the model. According to the findings on <span>Ha1 stated that “there is a significant influence of project scope planning on the performance of housing construction projects in Kigali City”. In the ANOVA table, the "Regression" row provides this information where the "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). This indicates that the regression model (which includes </span>project scope planning<span>) is statistically significant. The Ha2 stated that “</span>t<span>here is a significant influence of project resource planning on the performance of housing construction projects in Kigali City”. Similarly, we look at the significance of the predictor "</span>project resource planning<span>" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). The Ha3 said that “there is a significant influence of project risk planning on the performance of housing construction projects in Kigali City”. Again, we examine the significance of the predictor "</span>project risk planning<span>" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). Therefore, based on the analysis, </span>project risk planning <span>also has a significant influence on the performance of housing construction projects in Kigali City.</span> <span> </span></span></p> <p><span> </span></p> <p><strong><span>Key words: </span></strong><em><span>project planning; performance of Housing Construction Projects; </span></em><em><span>project scope planning; project resource planning; project risk planning</span></em></p>
Effect of Project Management on Success of Mergers and Acquisitions of Companies in Rwanda: case of Investment Finance / Commercial Buildings Project of KCB and Rural Sector Support Project of BPR (2020-2023).
<h1><span><br></span></h1> <p><span>Background: the study aimed to assess the impact of project management on the success of mergers and acquisitions in Rwandan companies, focusing on the Investment Finance/Commercial Buildings project of KCB and the Rural Sector Support Project of BPR. The specific objectives included examining the effects of project timeline management, project budget management, project human resource management, project quality planning management, and project risk assessment on the success of mergers and acquisitions. <span> </span>Methods: The research utilized descriptive and correlative research designs, employing a mixed approach of qualitative and quantitative methods. Data were collected from a population of 237 individuals, with a sample size of 149 selected through stratified and purposive sampling. Statistical Package for the Social Sciences (SPSS) version 23.0 was used for data processing and analysis, employing descriptive statistics, correlation, and multiple linear regression analysis. Findings: The correlation analysis revealed significant and positive relationships between the independent variables (X1, X2, X3, X4, and X5) and the dependent variable </span><span>(Y - success of mergers and acquisitions). Effective timeline management (X1) demonstrated a significant positive correlation (Pearson Correlation = 0.476), emphasizing its importance for project success. Project budget management (X2) also exhibited a significant positive correlation (Pearson Correlation = 0.583), highlighting the value of budget management. Efficient human resource management (X3) showed a significant positive correlation (Pearson Correlation = 0.522), underscoring the role of human resources in project success. Effective quality planning management (X4) displayed a significant positive correlation (Pearson Correlation = 0.621), emphasizing the importance of quality planning. Thorough project risk assessment (X5) had a significant positive correlation (Pearson Correlation = 0.671), stressing the role of risk assessment in achieving success. Conclusion: all independent variables (X1, X2, X3, X4, and X5) were found to be positively and significantly correlated with the success of merger and acquisition projects. These results underscore the crucial role of project management factors, including timeline management, budget management, human resource management, quality planning management, and risk assessment, in determining the success of mergers and acquisitions in Rwandan companies. Recommendations: Based on the findings, it is recommended that companies engaged in mergers and acquisitions in Rwanda prioritize effective project management strategies, focusing on timeline management, budget management, human resource management, quality planning management, and risk assessment. Implementing robust project management practices can enhance the likelihood of successful outcomes in the context of mergers and acquisitions. Additionally, organizations are encouraged to invest in training and development programs to build the necessary skills and competencies in project management for their personnel involved in such strategic initiatives.</span></p>
Survey Conflict Psychological Safety and Project Success
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Supplemental Materials to "A Fine-grained Taxonomy of Code Review Feedback in TypeScript Projects"
<p>Supplemental Materials to the paper "A Fine-grained Taxonomy of Code Review Feedback in TypeScript Projects".</p>
Outputs from Vector-borne diseases and climate change (VECLIMIT)- project
<p>Vector-borne diseases (VBDs) pose a significant global public health threat, influenced by intricate interactions between hosts, vectors, pathogens, and the environment. In northern Europe the climate is warming at over twice the rate of the global average, affecting ecosystems and their biota, and consequently drivers of VBD circulation and epidemiology. By integrating long-term disease incidence data, metagenomic analyses, empirical field studies, high-resolution climate data, and predictive spatiotemporal modelling, we approached to set baselines and to understand the main climate-dependencies of the drivers of the complex dynamics governing transmission and distribution of main VBDs in Finland. In addition, by mapping the knowledge, attitudes, and practices among Finnish residents related to VBDs in a changing climate to further understand the possible gaps and misunderstandings associated with VBDs that may hinder the uptake of protective measures. </p>
Effect of Project Management Practices on the Improvement of Irish Potatoes Value Chain Project: A Case of SDGP Project in Musanze District, Rwanda (2020-2022)
<p><span>This study investigates the impact of project management practices on the improvement of the Irish potatoes value chain project in Musanze District, Rwanda. It focuses on assessing the effects of project planning, implementation, and monitoring and evaluation on the project's success. Using a census method due to a small target population of 135, which included SDGP staff and local agricultural representatives, the study utilized both primary and secondary data, analyzed through descriptive and inferential statistics in SPSS.</span></p> <p><span>The results indicate that project management practices, particularly planning, implementation, and monitoring and evaluation, have a strong positive correlation with project improvement. However, the study also highlights some areas of concern, such as inadequate detailed planning and beneficiary involvement. With an R-squared value of .862, these practices explain 86.2% of the variations in project improvement.</span></p> <p><span>Conclusively, the study affirms that effective project management significantly enhances the Irish potatoes value chain project in Musanze District. Recommendations include refining the planning process, enhancing beneficiary involvement, improving risk management during implementation, and ensuring effective communication and use of monitoring and evaluation findings to foster better project outcomes.</span></p> <p><span>Top of Form</span></p> <p><strong><span>Key words:</span></strong><span> </span><span>project management practices, project improvement, project planning, project </span></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.