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761 results for “impact assessment”
Data from: Assessing the impacts of imperfect detection on estimates of diversity and community structure through multispecies occupancy modeling
Detecting all species in a given survey is challenging, regardless of sampling effort. This issue, more commonly known as imperfect detection, can have negative impacts on data quality and interpretation, most notably leading to false absences for rare or difficult‐to‐detect species. It is important that this issue be addressed, as estimates of species richness are critical to many areas of ecological research and management. In this study, we set out to determine the impacts of imperfect detection, and decisions about thresholds for inclusion in occupancy, on estimates of species richness and community structure. We collected data from a stream fish assemblage in Algonquin Provincial Park to be used as a representation of ecological communities. We then used multispecies occupancy modeling to estimate species‐specific occurrence probabilities while accounting for imperfect detection, thus creating a more informed dataset. This dataset was then compared to the original to see where differences occurred. In our analyses, we demonstrated that imperfect detection can lead to large changes in estimates of species richness at the site level and summarized differences in the community structure and sampling locations, represented through correspondence analyses.
ASSESSING THE IMPACT OF YOUTH INVOLVEMENT ON NATIONAL DEVELOPMENT PROJECTS: A STUDY ON THE AGRICULTURAL DEVELOPMENT PROJECTS LED BY YALLA YALLA GROUP (YYG) UNDER RAB-RWANDA
<div> <p><strong><span> </span></strong></p> </div> <p><strong><span> </span></strong></p> <p><strong><span>ABSTRACT</span></strong></p> <p><span>The Study assessed he impact of Youth Involvement on National Development Projects: A Study on the Agricultural </span><span>development projects</span><span> Led by </span><span>Yalla Yalla Group (YYG) </span><span>under RAB-Rwanda</span><span> <span>a country which is experiencing rapid economic growth and characterized by a predominantly youthful population. Despite economic progress, Rwanda faces challenges such as insufficient job creation and inadequate economic infrastructure, leading to persistent issues of unemployment and underemployment, particularly among the youth. In response to these challenges, Yalla Yalla Group (YYG), comprising young professionals, directs its efforts toward agriculture development projects. The research objectives encompass evaluating the effectiveness of YYG's projects, examining socio-economic benefits, assessing the impact on community development, and exploring potential barriers to success. The study population comprises 198 individuals actively involved in YYG projects, with a sample of 132 determined using Slovin's formula through convenient sampling. Quantitative data is collected through a structured questionnaire and statistical analyses, including SPSS and multiple linear regression, are employed to scrutinize hypotheses. The findings reveal a highly significant positive correlation (r = 0.977, p < 0.01) between "country development" and "young people involvement," indicating a strong linear relationship. The F-statistic of 219.903 emphasizes that the predictors significantly explain variance in country development beyond chance. Specifically, the study highlights that increased involvement in agriculture is associated with higher levels of country development (coefficient: 0.506, t = 5.500, p < 0.001), underscoring a positive relationship. Livestock involvement, while statistically significant (coefficient: 0.017, t = 0.097, p = 0.003), exhibits a limited impact on country development. In contrast, higher engagement in business and entrepreneurship significantly correlates with increased country development (coefficient: 0.919, t = 4.963, p < 0.001), emphasizing a strong positive relationship. Additionally, heightened participation in environmental conservation is linked to elevated country development (coefficient: 0.157, t = 3.049, p = 0.003). </span></span></p> <p><strong><span>Keywords:</span></strong><span> </span><em><span>Youth Involvement;<span> </span>National Development Projects; Agricultural Development; Youth-Led Initiatives; Sustainable Development</span></em></p>
Data for Impact of nano-dopants on the mechanical and physical properties of magnesium oxychloride cement composites – experimental assessment
<p>The importance of the World’s reduction of CO2 emissions is inevitable as CO2 is one of the main contributors to climate change. As the Portland cement (PC) industry is a non-negligible contributor to the World’s CO2 emissions, a sustainable PC substitute must be implemented. Previous scientific studies suggest that magnesium oxychloride cement (MOC) – an eco-friendly binder based on reactive magnesia – could be a suitable alternative. This contribution studies the influence of various nanoadditives on the mechanical and physical properties of MOC-based composites. The nanoadditives introduced to the MOC composite were the following: multi-walled carbon nanotubes, oxidized multi‑walled carbon nanotubes, graphene oxide, graphene nanoplatelets, and alumina nanosheets. Ahead of the composite preparation, the nanoadditives were analysed with a wide spectrum of analytical methods to study their composition and microstructure in detail. The used amount of nanoadditive was 1.0 wt.%, relative to the cement paste weight. After a curing period of 28 days, the prepared composite samples underwent a comprehensive analysis of their microstructure, phase, and chemical composition, as well as micro- and macrostructural parameters and mechanical properties. Additionally, the research studied the effects of nanoadditives on the hygric properties and water resistance of the MOC composites after 24-h immersion in water. The findings revealed a noteworthy increase in mechanical performance with the addition of nano-dopants. The highest compressive strength of 85.4 MPa was obtained for the MOC composite enriched with the addition of oxidized multi-walled carbon nanotubes. MOC doped with alumina nanosheets exhibited the best flexural strength (20.99 MPa) and dynamic modulus of elasticity (38.85 GPa). The resistance of MOC composites to deterioration in water was also improved by all the nanoadditives investigated. The softening coefficient determined for samples immersed in water for 24 h varied from 62.7 to 74.8. The best resistance to water degradation was obtained for MOC with alumina nanoadditive, which showed a softening coefficient value about 23.2% higher than that of the reference sample. Thus, the incorporation of nanomaterials as functional nanoadditives in MOC-based composites shows promising advances in both mechanical properties and water resistance, contributing to the development of environmentally sustainable building materials.</p>
Figure 3 from: Underwood E, Taylor K, Tucker G (2018) The use of biodiversity data in spatial planning and impact assessment in Europe. Research Ideas and Outcomes 4: e28045. https://doi.org/10.3897/rio.4.e28045
Figure 3 Steps in the Environmental Impact Assessment Process.
Figure 2 from: Underwood E, Taylor K, Tucker G (2018) The use of biodiversity data in spatial planning and impact assessment in Europe. Research Ideas and Outcomes 4: e28045. https://doi.org/10.3897/rio.4.e28045
Figure 2 Steps in the Strategic Environmental Assessment Process.
Comparative Analysis of ESG-Focused DeFi Protocols and Traditional ESG Funds: Financial Performance, Transparency, and Impact Assessment - Supporting Data
<p>This dataset supports the research study titled 'Comparative Analysis of ESG-Focused DeFi Protocols and Traditional ESG Funds: Financial Performance, Transparency, and Impact Assessment.' It contains financial metrics, transparency scores, and impact assessments for ESG-focused DeFi protocols and traditional ESG funds over a specified period. The data includes variables such as governance practices, market volatility, and environmental scores, used for quantitative analysis and regression modeling.</p> <p> </p>
Computational data on "A Model for the Rapid Assessment of Solution-Structures for 24-Atom Macrocycles: The Impact of β-Branched Amino Acids on Conformation"
<p>The archive contains 5 different folders:<br> <br> 1. mdp_files, that contains all the input files for the minimization, equilibration and molecular dynamics run (in gromacs format);<br> 2. topologies, that contains the equilibrated configurations and topology of the 4 systems studied (in gromacs format);<br> 3. trajectories, that contains the coordinates of the macrocycles during the metadynamics calculations and the relevant metadynamics output files (hills file and energy file);<br> 4. plumed_input, that contains the input file for the metadynamics calculations.<br> 5. gaussian, that contains input and output for the single-point charge calculations.</p>
A Study to Assess the Impact of a Nutritional Supplement on Wellbeing and Nutrient Absorption
ClinicalTrials.gov study NCT06749808. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Impact of Acupuncture Therapy on Medical Resident Well-Being: Feasibility and Acceptance
ClinicalTrials.gov study NCT03245034. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Impact of Surgeon-Interpreted Intraoperative Margin Assessment During Breast Conserving Surgery on Postoperative Treatment
ClinicalTrials.gov study NCT07140965. IPD Sharing: Not stated. Countries: 1. Publications: 0.
To Assess the Safety of Continuous IV Administration of Plerixafor and Assess Impact on the Immune Microenvironment in Patients With Pancreatic, Ovarian and Colorectal Adenocarcinomas
ClinicalTrials.gov study NCT03277209. IPD Sharing: Not stated. Countries: 2. Publications: 0.
SCS Stimulation Clamp to Assess Impact of Stimulation on Glucose Metabolism
ClinicalTrials.gov study NCT04272411. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Impact of Perceptions of Unpredictability on Objective Measures of Food Consumption and Metabolism
ClinicalTrials.gov study NCT06690294. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Impact of the NeuroCatch Platform 2 Stimulus Tone Volume
ClinicalTrials.gov study NCT04956172. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Randomized Controlled Trial to Assess the Impact of Live and Recorded Music-Based Interventions on Pre-operative Stress, Mood, Pain and Biomarkers, in Neurosurgical Patients (Music-STAR Trial)
ClinicalTrials.gov study NCT06536504. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Determining Postoperative Recovery and the Impact of Adverse Events in Neurosurgery Based on Self-reported, App-based Longitudinal Assessment - a Collaborative Observational Research Project
ClinicalTrials.gov study NCT06352710. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Psychosocial Impact of the COVID-19 Pandemic on the MD Anderson Cancer Center Workforce
ClinicalTrials.gov study NCT04491292. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Geriatric Evaluations Impact on New AML Guidance
ClinicalTrials.gov study NCT05909501. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intracoronary Thrombus Assessed by OFDI After Successful Fibrinolysis And Its Impact On Myocardial Reperfusion
ClinicalTrials.gov study NCT02850315. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Neuroradiology Assesses Chiari Malformation's Impact on Airways, Cranial Base, and Sleep Disorders in Children.
ClinicalTrials.gov study NCT05913297. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.