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1,532 results for “skill”
Data and Code for Yeager et al., 2022: Enhanced Skill and Signal-to-noise in an Eddy-Resolving Decadal Prediction System
The sensitivity of decadal prediction system performance to model resolution is examined by comparing results from low- and high-resolution (LR and HR) predictions conducted with the Community Earth System Model (CESM). The primary difference between the two systems is the horizontal grid spacing of the ocean and atmosphere models (1° for both in LR; 0.1° and 0.25°, respectively, in HR), permitting a first direct comparison of how skill and signal-to-noise characteristics change when moving to the ocean eddy-resolved modeling regime. HR exhibits significantly increased skill and enhanced signal-to-noise for atmospheric fields compared to LR. This result suggests that mesoscale atmosphere-ocean interaction, which is present in HR but absent in LR, is a key mechanism involved in the transmission of predictable signals from the ocean to the atmosphere. Climate predictions can potentially be improved (and the signal-to-noise paradox alleviated) through explicit representation of ocean eddies and their interactions with the atmosphere.
Problem-solving skills are predicted by innovations in the wild and brain size in Passerines
<p>Code and dataset for the article "<strong>Problem-solving skills are predicted by innovations in the wild and brain size in Passerines</strong>"</p>
NMDA receptors in visual cortex are necessary for normal visuomotor integration and skill learning
<p>Raw data and Matlab code to generate the figures of the publication "NMDA receptors in visual cortex are necessary for normal visuomotor integration and skill learning" <a href="https://doi.org/10.7554/eLife.71476">https://doi.org/10.7554/eLife.71476</a>. Run generate_NKO_figures.m to produce all figures in the publication. </p>
Forecasts, score summary files, target observational data and meteorological driver files to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen"
<p>This data publication includes raw ensemble forecast output (forecasts.zip), as well as summary score files (scores.zip) for process-based forecasts produced with the Forecasting Lake and Reservoir Ecosystems (FLARE) framework. In addition, it includes scores for climatology (climatology_scores.csv) and random walk (RW_scores.csv) null forecasts, formatted observational data of target variables (sunp-targets-insitu.csv), and meteorological driver files required for analysis to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen". Forecasts were made of water temperature and dissolved oxygen at Lake Sunapee, NH in 2021 and 2022.</p>
Job Prediction based on Skills and Years of experience
<h2><strong>Purpose:</strong></h2><p>This dataset was meticulously collected by me during my academic journey. It comprises information on various attributes related to individuals' academic backgrounds, programming skills, work experiences, and roles in the field of technology. The dataset is specifically designed for job prediction purposes, helping to analyze and forecast potential job roles based on individuals' qualifications.</p>
Evaluating the Development Skills in Early Childhood Education among Kindergarten Learners
<p>This study investigates the relationship between various <br>demographic and early childhood development skills among learners. <br>Through a detailed analysis of age & gender distribution, parental education, <br>family income, sibling number, and early childhood proficiency levels across <br>different skill sets, the study aims to uncover patterns and potential disparities. <br>Notably, it explores the gender disparity among learners and in parental <br>education levels, with a significant emphasis on the impact of socioeconomic <br>status on educational access and opportunities. Despite initial assumptions, <br>statistical analysis reveals that demographic and socioeconomic factors do not <br>significantly influence early childhood development skills, suggesting the <br>critical role of quality education and inclusive environments. This research <br>underscores the importance of equal access to quality educational resources <br>and opportunities for all children, emphasizing that early childhood <br>development transcends demographic and socioeconomic boundaries. The <br>findings advocate for educational policies and interventions that focus on <br>holistic child development, aiming to provide every child with a strong <br>foundation for future learning and success</p>
Cultivating Leadership and Team Management Skills for Business Success
<p>In today's dynamic and competitive business landscape, effective leadership and proficient team management are fundamental pillars driving organizational success (Rahman, R. (2023). Leadership encompasses not only setting the vision and goals of an organization but also inspiring and empowering employees to achieve them (Rahman, R. (2023). Similarly, adept team management is crucial for harnessing the collective potential of individuals toward common objectives (Rahman, R. (2023). This introduction sets the stage for exploring the significance of honing leadership and team management capabilities in driving business success, drawing insights from scholarly literature on the subject.</p> <p> </p> <p>In the face of rapid technological advancements, evolving consumer preferences, and global market dynamics, businesses must navigate increasingly complex challenges. Effective leadership serves as the guiding force that steers organizations through uncertainty and change, while adept team management ensures that resources are optimally utilized and diverse talents are leveraged for maximum impact (Rahman, R. (2023). Moreover, in an era where employee engagement and retention are critical for sustained growth, leadership that fosters a culture of trust, collaboration, and innovation is indispensable ( Donaldson, G. (2006).).</p>
Cholecystokinin facilitates motor skill learning by modulating neuroplasticity in the motor cortex
<p>Cholecystokinin (CCK) is an essential modulator for neuroplasticity in sensory and emotional domains. Here, we investigated the role of CCK in motor learning using a single pellet reaching task in mice. Mice with a knockout of <em>cck</em> gene (CCK<sup>-/-</sup>) or blockade of CCK-B receptor (CCKBR) showed defective motor learning ability; the success rate of retrieving reward remained at the baseline level compared to the wildtype mice with significantly increased success rate. We observed no long-term potentiation (LTP) upon high-frequency stimulation (HFS) in the motor cortex of CCK<sup>-/-</sup> mice, indicating a possible association between motor learning deficiency and neuronal plasticity in the motor cortex. In vivo calcium imaging demonstrated that the deficiency of CCK signalling disrupted the refinement of population neuronal activity in the motor cortex during motor skill training. Anatomical tracing revealed direct projections from CCK-expressing neurons in the rhinal cortex to the motor cortex. Inactivating the CCK neurons in the rhinal cortex using chemogenetic methods significantly suppressed motor learning, and intraperitoneal application of CCK4, a tetrapeptide CCK agonist, rescued the motor learning deficits of CCK<sup>-/-</sup> mice. In summary, our results suggest that CCK, which could be provided from the rhinal cortex, enables neuroplasticity in the motor cortex leading to motor skill learning.</p>
Resources for "BMF CP20: Cultural-historical knowledge, social skills, and school events for the young generation in the globalization era"
<p>The current study has two objectives:<br><br></p> <ol> <li>Examine whether discussions with parents about cultural-historical knowledge and social skills and participation in multicultural school events improve children’s and youth’s tolerance toward different viewpoints;</li> <li>Examine whether discussions with parents about cultural-historical knowledge and social skills and participation in multicultural school events improve children’s and youth’s general inclusiveness.</li> </ol>
Making people work skillfully together with the support of the TeamFluent tool - video of a demonstration
<p>This is a video prepared for a demonstration held at the OCCE 2021 conference:</p> <p>Lakkala, M., Dexter, P., Rautiainen, J., Männistö, T., & Toom, A. (2021). Making people work skillfully together with the support of the TeamFluent tool. OCCE 2021 DTEL IFIP TC3 Conference, 17-20 August, 2021, Tampere, Finland. See the book of abstracts: h<a href="http://ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf">ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf</a> (pp. 37-38).</p> <p>TeamFluent is a research-based tool originally developed at the University of Helsinki in the dLearn.Helsinki project (<a href="https://blogs.helsinki.fi/dlearnhelsinki/">https://blogs.helsinki.fi/dlearnhelsinki/</a>) and further developed by TeamFluent Ltd. (<a href="https://www.teamfluent.eu/">https://www.teamfluent.eu/</a>).</p>
Interaction between Cognitive style and Gender when using Virtual laboratories in the development of laboratory skills of the Health Collages in Covied 19
<p>Interaction between Cognitive style and Gender when using Virtual laboratories in the development of laboratory skills of the Health Collages in Covied 19</p>
Terms4FAIRskills - an overview for the Research Data Alliance 'Birds of a Feather' session, Skills and training curriculums to support FAIR for Research Software
<p>Short talk (7m) on the terms4FAIRskills initiative for the Research Data Alliance 'Birds of a Feather' session, Skills and training curriculums to support FAIR for Research Software, at RDA plenary 18 on 3 Nov 2021.</p> <p>Please see https://www.rd-alliance.org/skills-and-training-curriculums-support-fair-research-software for more information on the BoF session. Please see https://terms4fairskills.github.io/ for more information on the terms4FAIRskills initiative.</p>
Cognitive Factors Related to Early Math Skills: Non-Verbal Intelligence, Working Memory and Rapid Naming
<p>An archived dataset of 100 participants in the study "Cognitive Factors Related to Early Math Skills: Non-Verbal Intelligence, Working Memory and Rapid Naming". </p> <p> </p>
R Skills Building for Cancer Scientists
<p>These datasets are being used in our course but are originally from the course run by the Bioinformatics Core<br> at the Cancer Research UK Cambridge Institute (Contributions : Matthew Eldridge, Chandra Chilamakuri, Mark Fernandes, Ashley Sawle, Kamal Kishore, Sergio Martinez Cuesta, Rory Stark).</p>
Skill-Task dictionary
<p>This table contains the "Skill-Task Dictionary" used to reconcile the skill descriptors found in online job advertisements with the JRC-Eurofound Task Taxonomy. Developed in Sostero, M. and Fernández-Macías, E., The Professional Lens: What Online Job Advertisements Can Say about Occupational Task Profiles, Seville: European Commission, 2021, JRC125917</p>
Synthesis of soft skills results in before-after measures
<p>Synthesis of soft skills results in before-after measures</p>
Skillful decadal UK flood prediction - DO NOT USE
<p>The scripts in this repository perform the analysis shown in the manuscript "Skillful decadal UK flood prediction" by Moulds et al., which is currently under consideration in Geophysical Research Letters.</p>
Teachers' knowledge of soft skills and flipped classrooms: nursing and health technologies
<p><strong><span>Background</span></strong><span>: Soft skills and flipped classrooms are important in the fields of education, nursing, and health techniques. </span></p> <p><strong><span>Aim</span></strong><span>: This study determined nursing teachers’ knowledge of soft skills and flipped classrooms.</span></p> <p><strong><span>Design</span></strong><span>: This is a descriptive cross-sectional study with an analytical focus involving 100 teachers.</span></p> <p><strong><span>Settings</span></strong><span>: The study was conducted at </span><span>a higher institute of nursing professions and health techniques—ISPITS at Agadir and its annex in Tiznit.</span></p> <p><strong><span>Participants</span></strong><span>:</span><span> One hundred permanent and part-time teachers (with an equal distribution of male and female teachers) at ISPITS in Agadir and its annex in Tiznit participated in the survey.</span></p> <p><strong><span>Methods:</span></strong><span> A five-part</span><span> questionnaire was used to collect data. The independent variable was the use of a flipped classroom and the dependent variable was the development of soft skills. SPSS version 25 software was used to process the data. A Chi-square test, Ficher’s test, a binary logistic regression test, and a multivariate logistic regression model were employed for data analysis.</span></p> <p><strong><span>Results</span></strong><span>: In total, 80% of the participants had knowledge of soft skills, and 75% knew about flipped classrooms. The most important soft skills were considered to be communication, stress management, teamwork, conflict management, problem-solving, time management, critical thinking, autonomy, adaptability, and decision-making. The five soft skills considered most likely to be developed by flipped classrooms were autonomy, analysis, teamwork, communication, and time management. Furthermore, the development of soft skills through the flipped classrooms was independently associated with soft skills training (p=0.008) and the use of the flipped classrooms (p=0.042).</span></p> <p><strong><span>Conclusions</span></strong><span>: Teachers have knowledge of soft skills and flipped classrooms despite a lack of training, and flipped classrooms contribute to the development of soft skills</span></p>
Supporting materials for 'Building quantitative skills with a simplified physical model of coastal storm deposition'
<p>Supporting Materials for Lazarus (2024): "Building quantitative skills with a simplified physical model of coastal storm deposition" (preprint <a href="https://doi.org/10.31223/X56H5B">here</a>).</p> <p>Files include:</p> <ul> <li><strong>DEM_washover_final_demo.tif </strong>– "final" DEM for a bare back-barrier floodplain in a physical laboratory experiment of coastal barrier overwash</li> <li><strong>Lazarus_2024_experimental_washover_exercise_instructions_Zenodo_release.pdf</strong> – step-by-step instructions for a classroom exercise that guides students through using the 'DEM_washover_final_demo' file to digitise, measure, and plot washover deposits with QGIS and Python</li> <li><strong>experiments_plotting_simple.ipynb</strong> – Python notebook for plotting results from classroom exercise</li> <li><strong>Lazarus_2024_washover_exercise_figs.ipynb</strong> – Python notebook for plotting Figs. 3 & 4 in the accompanying manuscript (Lazarus, 2024)</li> <li><strong>GGES2021_S24_data_all_release.csv</strong> – dataset of morphometric measurements presented and discussed in the accompanying manuscript (<a href="https://doi.org/10.31223/X56H5B">Lazarus, 2024</a>)</li> </ul>
Metagenomics education in a modular CURE format positively affects students' scientific discovery perception and data analytical skills
<p>The targeted metagenomics study performed by Pollock et al. <em>(Pollock 2018)</em> was part of the Global Coral Microbiome Project <em>(Vega Thurber Lab 2014)</em>. Since the original publication of Pollock et al. <em>(Pollock 2018) </em>was written for a highly specialized academic public, we provided Bsc. students with a short introduction of the paper and guided them through the metadata table stored in the <em>gcmp16S_map_r25.txt </em>file under the <em>GCMP Australia sequence data, OTU tables, and metadata</em> folder (<a href="https://doi.org/10.6084/m9.figshare.c.3855466.v2">https://doi.org/10.6084/m9.figshare.c.3855466.v2</a>).</p> <p>In order to process the fastq-files and obtain OTU tables, a custom-made pipeline on a Galaxy instance <em>(Galaxy Community)</em> was used. This pipeline contained data analytical tools obtained from the Naturalis Biodiversity Center GitHub environment (<a href="https://github.com/naturalis">https://github.com/naturalis</a>). In order to align with the newest Galaxy best practices, we updated the tools and links to the original as well as the updated GitHub and toolshed versions are included in the references list.</p> <p>The names of the original raw fastq-files contain many dots which can hamper file-type recognition during downstream analyses in Galaxy. Therefore, prior to distributing the fastq-files to the students, these names were renamed using the ManageZIP tool <em>(The BLFS Development Team 1999-2023)</em>. Dots were replaced with underscores, with an exception made for the last 2 file type extension dots. For example, the file name <em>E1.2.Tur.pelt.1.20140814.M_S71_L001_R1_001.fastq.gz</em> was changed into <em>E1_2_Tur_pelt_1_20140814_M_S71_L001_R1_001_1.fastq.gz</em>. Similarly, the filenames in the metadata table were adjusted accordingly. The total collection of renamed file names is available through this zenodo repository as wel as the accompanying metadata file.</p>
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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.