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18,658 results for “impacts”
Dataset - Global site-specific health impacts of fossil energy, steel mills, oil refineries and cement plants
<div> <div> <p>Climate change and particulate matter air pollution present major threats to human well-being by causing impacts on human health. Both are connected to key air pollutants such as carbon dioxide (CO<span><span><span>2</span></span></span>), primary fine particulate matter (PM<span><span><span>2.5</span></span></span>), sulfur dioxide (SO<span><span><span>2</span></span></span>), nitrogen oxides (NO<span><span><span>x</span></span></span>) and ammonia (NH<span><span><span>3</span></span></span>), which are primarily emitted from energy-intensive industrial sectors. We present the first study to consistently link a broad range of emission measurements for these substances with site-specific technical data, emission models, and atmospheric fate and effect models to quantify health impacts caused by nearly all global fossil power plants, steel mills, oil refineries and cement plants. The resulting health impact patterns differ substantially from far less detailed earlier studies due to the high resolution of included data, highlighting in particular the key role of emission abatement at individual coal-consuming industrial sites in densely populated areas of Asia (Northern and North-Eastern India, Java in Indonesia, Eastern China), Western Europe (Germany, Belgium, Netherlands) as well as in the US. Of greatest health concern are the high SO<span><span><span>2</span></span></span> emissions in India, which stand out due to missing flue gas treatment and cause a particularly high share of local health impacts despite a limited number of emission sites. At the same time, the massive infrastructure and export capacity build-up in China in recent years is taking a substantial toll on regional and global health and requires more stringent regulation than in the rest of the world due to unfavorable environmental conditions and high population densities. The current phase-out of highly emitting industries in Europe is found not to have started with sites having the greatest health impacts. Our detailed site-specific emission and impact inventory is able to highlight more effective alternatives and to track future progress.</p> </div> </div>
Complementary and Alternative Medicine Use and its Impact on Quality of Life among Cancer Patients in Freetown, Sierra Leone: Considerations for a Resource-Limited Setting
<p> </p> <p><span>Cancer patients are increasingly resorting to complementary and alternative medicine (CAM) to alleviate the effects of the disease and enhance their quality of life (QoL). However, to our knowledge, no study has investigated CAM use and its impact on QoL in patients with cancer in Sierra Leone. Therefore, this study aimed to assess the prevalence of and associated factors with CAM use, and compare the quality of life between CAM users and non-users.</span></p> <p><span>This cross-sectional descriptive study was conducted at three health facilities in Freetown viz Connaught Hospital Ola During Children's Hospital, and the Water and Stone Clinic. Data were collected through face-to-face interviews, using an adapted questionnaire. The QoL was assessed using the European Organization for Research and Treatment of Cancer tool. Descriptive analysis was employed, and binary logistic regression tests were used to explore the associated factors of CAM use, with statistical significance set at p<0.05.</span></p> <p><span>In total, 204 participants completed the study. The prevalence of CAM use was 48.5%. Among the various CAMs examined in this study, herbal medicines (48.8%) followed by special foods (19.4%) were the most commonly used forms of CAM. The primary reason for CAM use was the management of cancer complications (43.4%). Over half of the CAM users did not disclose their CAM use to their doctors (53.5%). There was a statistically significant association between CAM use and tertiary education (AOR=2.68, 95%CI=1.31-5.49, p=0.007) and chemotherapy treatment (AOR=1.91, 95%CI= 1.06-3.46, p=0.032). There was no considerable impact of CAM on QoL, although financial difficulty was statistically significant among CAM users compared with non-CAM users.</span></p> <p><span>This study revealed that CAM use is prevalent among cancer patients, with herbal medicines being the most commonly used form, followed by special foods and prayers. <span> </span>Patients primarily obtain information about CAM from family, friends, and relatives, and most do not discuss CAM use with their doctors. Tertiary education and chemotherapy were found to be predictors of CAM use. Regarding the impact of CAM on QoL, only financial difficulty was statistically significant.</span></p>
Model simulation output for New Configuration for Impact of microphysics and convection schemes on the mean-state and variability of clouds and precipitation in the E3SM Atmosphere Model
<p>Simulation output from the new configuration model used in the manuscript Impact of microphysics and convection schemes on the mean-state and variability of clouds and precipitation in the E3SM Atmosphere Model</p>
Raw Data for Publication "Earth observations reveal impacts of climate variability on maize cropping systems in Sub-Saharan Africa"
<p>Phenological metrics extracted for all agricultural fields used in the study. Data also includes the coordinates of the fields.</p>
The Impact of Social Support on Burnout among Lecturers: A Systematic Literature
<p>The CCAT User Guide provides detailed explanations and references for how each category item can be scored.</p>
Unveiling Surface and Near-Surface Properties of Inner Solar System Bodies Through Impact Cratering: Datasets
Open the record for dataset details and reuse information.
Impact Compressive Properties of Polyurethane Foams with 3D Continuous Fibre Reinforcement
<p>Flexible and rigid polyurethane foams are used in applications subjected to impact loads. Integrating a three-dimensional, continuous fibre reinforcement meets high requirements for stiffness and strength. A fundamental comparison of the impact compressive properties was carried out for contributing to a reasonable choice between these variants. A rigid and flexible foam with a bulk density of 85 kg/m<sup>3</sup> each was investigated with and without reinforcement by a warp-knitted spacer fabric. The material testing was conducted using a drop weight tester in accordance with a German standard. Three impacts are applied by a hammer with a flat surface larger than the area of the sample plate. Different impact energies were investigated and the deformation behaviour was analysed using a high-speed camera. Much higher energy absorptions at low deformations were found with rigid foam. Peak stresses and decelerations were lower with flexible foam if the load did not densify the material. Reinforcing the foams leads to an anisotropic deformation and improves the impact compressive properties, especially in the case of the flexible variant. The four materials analysed had a similar rebound and largely maintained their performance when subjected to the repeated impact load.</p>
Statistical data - Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia
<p><span>The dataset represents statistical data collected and interpreted by the authors in the framework of the research titled <strong>'Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia'</strong>. The research was developed in the framework of the <a href="https://greenforcetwinning.net/">GreenFORCE</a> project and is available under Deliverables <em>4.5_1st Research Study Report</em>; and <em>4.6_2nd Research Study Report</em>. </span></p> <p><span> </span></p> <p><span>The dataset contains tables and graphs that are employed within the research and may be accessed by the general public in compliance with the Creative Commons Attribution license. The datasheets include:</span></p> <p><span> </span><span>1- Primary energy production data 2005-2022 </span></p> <p><span>2- Energy balance 2018-2022</span></p> <p><span>3- Electricity production by domestic producers 2017-2022</span></p> <p><span>4- GDP by production approach 2017-2022</span></p> <p><span>5- GDP components 2019-2021</span></p> <p><span>6- BDP components 2019</span></p> <p><span>7- GDP per capita 2015-2020</span></p> <p><span>8- BDP per sector and region 2021</span></p> <p><span>9- Employment per sector and regions 2017-2021</span></p> <p><span>10- Population data 2021</span></p> <p><span>11- Input-Output analysis data</span></p> <p><span>12- Environmental Investment statistics</span></p> <p><span>13- GHG emissions (+ projections) 2015-2025</span></p> <p><span>14- Environmental taxation (2016-2021)</span></p>
Impact of Generation Z on Pharmaceutical Marketing, Sales, and Compliance - Full Panel Discussion
<p>This video captures the full panel discussion on the impact of Generation Z on pharmaceutical marketing, sales, and compliance. The panel features insights from industry experts, marketing strategists, compliance officers, and Gen Z doctors, discussing the challenges and opportunities in engaging with this demographic. Key themes include digital engagement, value-driven marketing, ethical considerations, and the adoption of emerging technologies.</p>
Research data for journal article: Balancing Environmental and Economic Impacts in the rapidly evolving European EV Battery Value Chain
Open the record for dataset details and reuse information.
Impact of Invasive Species & Ecosystem-Based Fisheries Management
<p>During the Sabai Webinar Series 14, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), Burmese Experts, including Mr Phoe Cho, Fisheries Specialist, Mr Thadoe Wai, Local Freshwater Ecologist and Mr Tin Shine Aung: Sustainability Consultant and Researcher engaged in a discussion on <br>ecological impact of invasive fish species in Myanmar. </p> <p>They highlighted the consequences of introducing invasive fish species into natural water sources, such as rivers, streams, & seas and why ecosystem-based fisheries management is important. </p> <p>This Sabai Webinar Series was conducted under the Edu4SD project.</p> <p> </p>
Impact of Neural Cyberattacks on a Realistic Neuronal Topology from the Primary Visual Cortex of Mice
<p>Dataset associated to the paper "Impact of Neural Cyberattacks on a Realistic Neuronal Topology from the Primary Visual Cortex of Mice"</p>
Influence of Social Media on Self-Image Perception and Its Impact on the Risk of Developing Eating Disorders
<p>STUDY: Influence of Social Media on Self-Image Perception and Its Impact on the Risk of Developing Eating Disorders</p> <p>This is a descriptive cross-sectional study conducted in a secondary education center in Zaragoza, Aragon, Spain.</p> <p>A questionnaire was administered to study the influence of social media on the risk of developing perception and eating disorders.</p> <p>The total sample consists of 112 students aged between 14 and 18 years.</p>
Impact of landscape ruggedness on performance modeling
<p>Previous efforts in our community has been focusing on developing new performance models, whereas little efforts are devoted to interrogate the bottlenecks of existing approaches. Here we demonstrate the accuracy of predictive models in fitting configuration performance can heavily rely on the ruggedness of the underlying.</p> <p>The set of plots presented here depicts the R2 score of a XGBoost regressor fitting on the configuration data of an entire landscape against the number of local optima/autocorrelation of each landscape. Each point in each subplot represents a workload, with the x and y values showing the R2 score and the number of local optima/autocorrelation of the corresponding landscape. A linear regression fit linear, along with 95% confidence interval of the fit, as well as Spearman's p, are also shown in the plots. </p> <p>From the results, it is very clear to see that the accuracy of the fit is significantly correlated with the ruggedness of the landscape, despite we have employed the same model. Notably, on LLVM, the R2 score can drop from nearly 0.9 all the way down to around 0.2 with the increase in landscape ruggedness.</p> <p>Therefore, local optima and landscape ruggedness can be play a critical role in performance modeling, which have not been previously reported. We intend to add this finding to the main text, since it can potentially inspire new performance modeling methods that can tackle rugged landscapes.</p>
Dataset - Impact of alkalis and shrinkage-reducing admixtures on hydration and pore structure of hardened cement pastes
<p>XRD and TGA data for cement pastes at various content of alkali and SRA at ages of 7 days to 1 year.</p>
Data from "Impact-induced hydrothermal conditions in complex craters on Mars"
<p>Supplementary materials for the paper "Impact-induced hydrothermal conditions in complex craters on Mars". It includes iSALE input files for simulations presented in Figures 1, 2, 5, S1, S2, S3, and S4. It also includes select data processing and plotting files. Refer to readme.txt file for instructions.</p>
Impact of Methodological Choices on the Analysis of Code Metrics and Maintenance
<p>The repo-data folder contains 53 <code>.json</code> files, each corresponding to one of the 53 Java open-source projects. Each file contains various metrics for methods in the project.</p> <p> </p> <pre><code> { "hawtio-3976.json": { "Age": 794, "sloc": [11,11,11], "slocAsItIs": [11,14,14], "slocNoCommentPretty": [11,11,11], "diffSizes": [0,7,0 ], "bodychanges": [0,1,0], "newAdditions": [0,5,0], "isGetter": [false,false,false], "isSetter": [false,false,false], "changeDates": [0,3,794], "isEssentialChange": [false,true,false], "isBuggy": [false,false,false], "changeTypes": ["Yintroduced","Ybodychange","Yfilerename"], "filename": "hawtio-3976.json", "authors": ["X","Y","Z"], "editDistance": [0, 68, 0], "repo": "hawtio" }, "method_id": {...}, "method_id": {...} } </code></pre> <p> </p> <p>The above method with id <code>hawtio-3976.json</code> has total 3 revisions which is why the array of values for a particular metric (e.g., sloc: <code>[11,11,11]</code>) are of length 3. <code>Index 0</code> of the array represents the introduction value of a particular metric for the above method.</p> <div> <h3>Description of the metrics</h3> </div> <ul> <li><code>Age</code>: Age of the method in days</li> <li><code>sloc</code>: Source line of code of a method without comment and blank lines</li> <li><code>slocAsItIs</code>: Source line of code of a method with comment and blank lines</li> <li><code>slocNoCommentPretty</code>: Source line of code pretty printed without comment and blank lines</li> <li><code>diffSizes</code>: Total number of lines added + removed in git <code>diff</code></li> <li><code>bodychanges</code>: Contains value 0 or 1; where 1 implies occurrence of body change</li> <li><code>newAdditions</code>: Total number of lines added in git <code>diff</code></li> <li><code>isGetter</code>: Contains <code>true</code> or <code>false</code>; where <code>true</code> indicates it is a <code>get</code> method</li> <li><code>isSetter</code>: Contains <code>true</code> or <code>false</code>; where <code>true</code> indicates it is a <code>set</code> method</li> <li><code>changeDates</code>: Contains the date difference in days from when the method was introduced. Index <code>0</code> is always 0 which indicates the introduction date</li> <li><code>isEssentialChange</code>: Contains <code>true</code> or <code>false</code>; where <code>true</code> indicates it is an essential change. Essential change includes: <code>Ybodychange</code>, <code>Ymodifierchange</code>, <code>Yexceptionschange</code>, <code>Yrename</code>, <code>Yparameterchange</code>, <code>Yreturntypechange</code> and <code>Yparametermetachange</code> detected by <code>CodeShovel</code></li> <li><code>isBuggy</code>: Contains <code>true</code> or <code>false</code>; where <code>true</code> indicates the method bug was fixed at a particular revision</li> <li><code>changeTypes</code>: All transformations applied to the method at each revision. The full list of transformation that is detected by <code>CodeShovel</code> are: <code>Ybodychange</code>, <code>Ymodifierchange</code>, <code>Yexceptionschange</code>, <code>Yrename</code>, <code>Yparameterchange</code>, <code>Yreturntypechange</code>, <code>Yparametermetachange</code>, <code>Yannotationchange</code>, <code>Ydocchange</code>, <code>Yformatchange</code>, <code>Yfilerename</code> and <code>Ymovefromfile</code></li> <li><code>filename</code>: It is the method <code>id<br></code> <p><strong>bugData</strong> folder contains 53 .json files with bug information, each belonging to one of the 53 Java open-source projects. The sample JSON schema of a file is given below:</p> <pre><code>{ "hawtio-3976.json":{ "exactBug0Match": [false, false, false], "exactBug1Match": [false, false, false], "exactBug2Match": [false, false, false], "exactBug3Match": [false, false, false], "regExBug0": [false, false, false], "regExBug1": [false, false, false], "regExBug2": [false, false, false], "regExBug3": [false, false, false] }, "method_id": {...}, "method_id": {...}, }</code></pre> <p>The above method can be mapped to its metrics dataset using the method_id. For e.g., the above method with id hawtio-3976.json in bugData/hawtio.jsonthat has 3 revision can be found in the metric dataset using the same id hawtio-3976.json in the file repo-data/hawtio.json.<br>Description of bug dataset</p> <p>Each key in the above example contains value true or false indicating if a method was buggy or not at each revision. The "hawtio-3976.json method has 3 revisions (including method's introduction) which is why the array length is 3. The keys in the above json output represent bug-fix classification based on buggy keywords adopted from prior work.</p> <p>We identified bug-fix commit using two approaches:</p> <p> Exact case insensitive match of buggy keywords from the commit message (keys prefix wih exact represent this)<br> Partial case insensitive substring match (using regular expression) excluding words that ends with fix or bug. (keys prefix with regEx represent this)</p> <p> Bug0: This is the approach that we have used for classifying bug-fix commit. Buggy keyword list: <strong>["error", "bug", "fixes", "fixing", "fix", "fixed", "mistake", "incorrect", "fault", "defect", "flaw"]</strong><br> Bug1: Same keyword list as exactBug0Match with the addition of keyword issues<br> Bug2: Buggy keyword list from prior work: <strong>["bug", "fix", "error", "issue", "crash", "problem", "fail", "defect", "patch"]</strong><br> Bug3: Buggy keyword list from prior work: <strong>["error", "bug", "fix", "issue", "mistake", "incorrect", "fault", "defect", "flaw", "type"]</strong></p> </li> </ul>
Removal of developmentally regulated microexons has a minimal impact on larval zebrafish brain morphology and function - behavior data input files
<p>Unprocessed (tracking) larval zebrafish behavioral data from mutants with microexons removed. All genes are grouped by their beginning letter, and two runs are included for most mutants.</p>
Removal of developmentally regulated microexons has a minimal impact on larval zebrafish brain morphology and function - imaging stacks
<p>Results of brain activity mapping for zebrafish mutants with microexons removed. Both brain activity and structural data is included. These stacks are the significant signal that differs between the groups. They are compatable with the Z-Brain matlab viewer from Randlett, et al, 2015 Nature Methods.</p>
Removal of developmentally regulated microexons has a minimal impact on larval zebrafish brain morphology and function - behavior data output
<p>Graphs and quantification of larval zebrafish behavioral data from mutants with microexons removed. All genes are grouped by their beginning letter, and two runs are included for most mutants.</p>
ScienceDex guides
Understand access before you commit
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.