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257 results for “Writing”
Improving the Quality of Lecturer Competencies in Writing Scientific Journals
<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>
Data Repository: Direct electron beam writing of silver using a β-diketonate precursor: first insights
<h2>Summary</h2> <p>The data is contained in a single zip file with the two main folders: "Tungsten_SEM_deposition" and "FESEM_deposition". </p> <p>The folder "Tungsten_SEM_deposition" contains all used data from deposition experiments in the Hitachi S3600 tungsten filament scanning electron microscope (SEM) using the precursor (hfac)AgPMe3 with the home-built gas-injection system.</p> <p>The folder "FESEM_deposition" contains all used data from deposition in the Zeiss Crossbeam 340 KMAT using the field emitter scanning electron microscope (FESEM) capability of the dual beam instrument using the precursor (hfac)AgPMe3 with the commercial gas-injection system (Kleindiek).</p> <p>In each folder all raw SEM images related to these experiments are provided. In addition all pattern files and the most important data on the microstructural characterization using transmission electron microscopy (TEM) and energy-dispersive X-ray (EDX) spectroscopy are provided and indicated be the corresponding folder names.</p> <h3><br>Folder structure: "Tungsten_SEM_deposition"</h3> <p>1) KH157_new_Si_Ag_hfacAgTMP_deposition: images of the deposition experiment taken in the tungesten filament microscope</p> <p>2) KH157_Si_Ag_hfacAgTMP_HRSEM: high-resolution images taken in the field emitter scanning electron microscope Hitachi S-4800</p> <p>3) KH157_new_Si_Ag_hfacAgTMP_EDX_10kV: elemental analyses done in the field emitter microscope Hitachi S-4800 using an EDAX Genesis 4000 detector and 10 kV acceleration voltage</p> <p>4) KH157_new_Si_Ag_hfacAgTMP_EDX 2022-09 15mm: elemental analyses done in the field emitter microscope Hitachi S-4800 using an EDAX Genesis 4000 detector using 5 kV and 7 kV acceleration voltage</p> <p>5) KH157 - Pillar structure in cross-section: imaging and cross-sectioning done in a Tescan Lyra dual beam instrument plus elemental analysis done in a Tescan Mira FESEM equipped with an EDAX EDX system</p> <p>6) KH157_Si_Ag_hfacAgTMP_TEM: data related to transmission electron microscopy studies done in a ThermoFischer Themis 200 G3 microscope</p> <p>7) pattern_Katja_Hoeflich_Aug2022: pattern and design files used for automation of the patterning with the Xenos patterning software</p> <h3><br>Folder structure: "FESEM_deposition"</h3> <p>1) FESEM_deposition_Si: images of the deposition experiment in the field emitter dual beam instrument</p> <p>2) FESEM_deposition_TEM_grid: data related to the tranmission electron microscopy studies done in a ThermoFischer Themis 200 G3 microscope for deposition directly onto a TEM grid</p> <p>3) pattern: pattern files for patterning carried out using the SmartFIB software</p>
GenAI in L2 Writing Education Dataset
<p>This dataset contains 21 empirical studies collected in May 2024 that explore the application of Generative AI (GenAI) in writing education within second language (L2) contexts. All studies are written in English, have full-text availability, and provide insights into the impact and effectiveness of applying GenAI to L2 writing education.</p>
Artifact for Reducing Write Barrier Overheads for Orthogonal Persistence
<p>This is the artifact for the paper "Reducing Write Barrier Overheads for Orthogonal Persistence" accepted by the ACM SIGPLAN International Conference on Software Language Engineering (SLE) 2024.</p> <p> </p> <p>For a quick trial, download the following files:</p> <ul> <li>ccjava-image.tar.gz (Docker image)</li> <li>README.md</li> </ul>
Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method
<p>Replication package of the paper: "Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method." <br>Submitted to the 37th edition of the IEEE Conference on Software Engineering Education and Training (CSEE&T), co-located with ICSE 2025. </p>
Current-driven writing process in antiferromagnetic Mn_2Au for memory applications
<p>Current pulse induced resistance changes in Mn2Au(001) epitaxial thin films associated with Néel vector reorientation.</p>
Survey: Trainee attitudes towards scientific writing
<p>During March–April 2021, we used an anonymous Qualtrics survey to ask academic trainees (i.e., graduate students and postdoctoral scholars, hereafter postdocs) currently working at American and Canadian Universities within environmental biology fields about their publication records, career goals, challenges to writing, planning and scheduling writing, writing tracking methods, laboratory group (i.e., peers and advisor) involvement in their writing process, participation in writing accountability groups, demographic information, and the effects of the COVID-19 pandemic on their feelings towards writing habits and productivity. We were approved for IRB exemption under 45CFR46.104 and no answers could be linked to individuals or geographic locations, thus the survey did not track any personal identifying information.</p>
PAN23 Multi-Author Writing Style Analysis
<p>This is the dataset for the shared task on <a href="https://pan.webis.de/clef23/pan23-web/style-change-detection.html">Multi-Author Writing Style Analysis PAN@CLEF2023</a>. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code.</p> <p><strong>Task: </strong>We ask participants to solve the following intrinsic style change detection task: <strong>for a given text, find all positions of writing style change on the paragraph-level</strong> (i.e., for each pair of consecutive paragraphs, assess whether there was a style change). The simultaneous change of authorship and topic will be carefully controlled and we will provide participants with datasets of three difficulty levels:</p> <ol> <li><strong>Easy:</strong> The paragraphs of a document cover a variety of topics, allowing approaches to make use of topic information to detect authorship changes.</li> <li><strong>Medium:</strong> The topical variety in a document is small (though still present) forcing the approaches to focus more on style to effectively solve the detection task.</li> <li><strong>Hard:</strong> All paragraphs in a document are on the same topic.</li> </ol> <p>All documents are provided in English and may contain an arbitrary number of style changes. However, style changes may only occur between paragraphs (i.e., a single paragraph is always authored by a single author and contains no style changes).</p> <p><strong>Data: </strong>To develop and then test your algorithms, three datasets including ground truth information are provided (<em>dataset1</em> for the easy task, <em>dataset2</em> for the medium task, and <em>dataset3</em> for the hard task).</p> <p>Each dataset is split into three parts:</p> <ol> <li><em>training set:</em> Contains 70% of the whole dataset and includes ground truth data. Use this set to develop and train your models.</li> <li><em>validation set:</em> Contains 15% of the whole dataset and includes ground truth data. Use this set to evaluate and optimize your models.</li> <li><em>test set:</em> Contains 15% of the whole dataset, no ground truth data is given. This set is used for evaluation.</li> </ol> <p>You are free to use additional external data for training your models. However, we ask you to make the additional data utilized freely available under a suitable license.</p> <p><strong>Versioning:</strong> </p> <ul> <li>1.0: initial upload</li> </ul>
Can Guided Decomposition Help End-Users Write Larger Block-Based Programs? A Mobile Robot Experiment. (supplementary materials)
<p>Supplementary Material for the research paper "<strong>Can Guided Decomposition Help End-users Write Larger Block-based Programs? a Mobile Robot Experiment</strong>", published at the <em>Conference on Object-oriented Programming, Systems, Languages (OOPSLA 22).</em></p> <p>Paper DOI: <a href="http://doi.org/10.1145/3563296">http://doi.org/10.1145/3563296</a> </p> <p>This archive contains:</p> <ul> <li>An interactive demonstration of the used tutorials and tasks (in the folders tut1-3/ and task1-3/).</li> <li>An interactive playground to test out the presented development environments (onecanvas.html and twocanvas.html in the root folder).</li> <li>The raw data collected throughout the controlled experiment presented in the paper (mobilerobots-data.csv and mobilerobots-data.html)</li> <li>An overview page that allows convenient access to each of the previously described contents.</li> </ul> <p>A non-archival version of the contents is also available here: <a href="https://vcuse.github.io/alvo/first-experiment/">vcuse.github.io/alvo/first-experiment/</a></p> <p><em>Note: The interactive demonstrations work locally. However, several other files and folders contained in the archive are required to run the interactive demonstrations. Deleting or moving any parts of the archive may break the interactive elements. This demo was tested to work as intended on all commonly used web browsers in their most recent versions of 2022. Use at own risk</em></p>
SensoGrip - a Pressuresensitive Writing System
ClinicalTrials.gov study NCT05014854. IPD Sharing: NO. Countries: 1. Publications: 8.
Expressive Writing in Improving Quality of Life in Patients With Breast Cancer and Lymphedema
ClinicalTrials.gov study NCT00679185. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Expressive Writing in Male Infertility
ClinicalTrials.gov study NCT00385346. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Expressive Writing for Individuals With Parkinson's Disease and Their Caregivers
ClinicalTrials.gov study NCT02217735. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Empowering Perinatal Adolescents Through Writing
ClinicalTrials.gov study NCT06771817. IPD Sharing: NO. Countries: 1. Publications: 2.
Comparing Targets of Expressive Writing
ClinicalTrials.gov study NCT06130020. IPD Sharing: YES. Countries: 1. Publications: 1.
Expressive Writing for the Management of Stress in Cancer Survivors
ClinicalTrials.gov study NCT04776941. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Texting and Writing on Grip and Pinch Strength
ClinicalTrials.gov study NCT04810416. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of Competencies in Scientific Writing and Attendees' Satisfaction After Two Different Types of Training Courses: SCRIU-B Study
ClinicalTrials.gov study NCT05798598. IPD Sharing: NO. Countries: 1. Publications: 1.
APPLICATION OF THERAPEUTIC PHOTOGRAPHY AND EXPRESSIVE WRITING IN THE MANAGEMENT OF PATIENTS WITH MARFAN SYNDROME
ClinicalTrials.gov study NCT06872268. IPD Sharing: NO. Countries: 1. Publications: 1.
Narrative E-Writing Intervention (NeW-I) for Parents of Children With Chronic Life-Threatening Illness
ClinicalTrials.gov study NCT03684382. IPD Sharing: Not stated. Countries: 1. Publications: 11.
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.