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52 results for “Opus”
Abb. P 12 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 12: Publikationen von Ulrike Aspöck: 284 (2016), 285 (2016), 286 (2016).
MS 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 MS analysis of ([Hmim][OTf])3Zn.</p>
Transmission microscope photos of the structure of ionic liquid ([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 TEM analysis of ionic liquid ([Hmim][OTf])3Zn</p>
Determined Material Properties within the framework of the NCN project (OPUS) No. 2021/41/B/ST8/00148
<p>This file presents information on the determination of material properties, of the composite material undertaken for the study. The file presents both the data from which the material properties were determined and also summarises and averages the extracted data in tabular form. The data relates to the composite material manufactured for the NCN project (OPUS) No. 2021/41/B/ST8/00148.</p>
Figure 7 in Supported ionic liquid phase facilitated catalysis with lipase from Aspergillus oryzae for enhance enantiomeric resolution of racemic ibuprofen - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Figure 7. presents the scheme of ionic liquid immobilization on the silica surface. The file relates to the composite material manufactured for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The fifth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fifth research task carried out as part of the project concerns the electrochemical characteristics of the obtained liquid metal complexes and the determination of their electrochemical potential. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The third research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The third research task carried out under the project concerns the modification of solid carriers (MWCNTs, silica, inorganic oxide) with liquid metal complexes and the physical and chemical properties characterization of obtained materials. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The first research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The first research task carried out under the project concerns synthesis of novel solvate ionic liquids and physical and chemical properties characterization of obtained liquid metal complexes. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The fourth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fourth research task carried out under the project relates to the catalytic performance and activity of obtained in previous tasks liquid metal complexes in homo- and heterogeneous systems in various selected chemical processes. The information correlates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
A Study to Evaluate Efficacy and Safety of Lifitegrast in Subjects With Dry Eye (OPUS-3)
ClinicalTrials.gov study NCT02284516. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Safety and Efficacy Study of SAR 1118 to Treat Dry Eye Conducted in a Controlled Adverse Environment (CAE) (OPUS-1)
ClinicalTrials.gov study NCT01421498. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Text generated by OPUS-MT and T5 models with single-bit errors in the parameters
<h2>Description</h2> <p>The dataset contains text generated using T5 and OPUS-MT model with and with single-bit errors in the parameters of the LLM. The T5 LLM used the <a href="https://huggingface.co/datasets/cnn_dailymail/viewer/3.0.0/test">CNN Daily Mail</a> dataset for summarization and OPUS-MT used the <a href="https://aclanthology.org/2017.iwslt-1.1/">IWSLT2017</a> dataset for Chinese-to-English translation.</p> <p> </p> <p>Folders:</p> <ul> <li>t5_fp32: T5 model with a quantified version of FP32</li> <li>t5_fp16: T5 model with a quantified version of FP16</li> <li>opus_fp32: OPUS-MT model with a quantified version of FP32</li> <li>opus_fp16: OPUS-MT model with a quantified version of FP16</li> </ul> <p>Files:</p> <ul> <li><strong>{cnn/iwslt2017}_input_text.txt</strong>: Input text, that is, text to summarize (cnn and T5) or Chinese text to translate (iwslt2017 and OPUS-MT). For each dataset in total there are <em>number_input_texts.</em></li> <li><strong>{cnn/iwslt2017}_output_reference.txt:</strong> Example of result expected for CNN (T5) and IWSLT2017 (OPUS-MT). For each dataset in total there are <em>number_input_texts.</em></li> <li><strong>{cnn/iwslt2017}_output_predict_fault_free:</strong> Example of predictions without single-bit errors. For each dataset in total there are <em>number_input_texts.</em></li> <li><strong>{cnn/iwslt2017}_output_predict_single_fi_bit_100times:</strong> Example of predictions with 100 different single-bit error. In each dataset in total there are <em>100*number input texts</em>.</li> </ul> <h2>Paper</h2> <ul> <li>Paper: <a href="https://doi.org/10.48550/arXiv.2403.16393">Concurrent Linguistic Error Detection (CLED) for Large Language Models</a></li> <li>Cite:</li> </ul> <p><code>@misc{zhu2024concurrent,</code><br><code> title={Concurrent Linguistic Error Detection (CLED) for Large Language Models}, </code><br><code> author={Jinhua Zhu and Javier Conde and Zhen Gao and Pedro Reviriego and Shanshan Liu and Fabrizio Lombardi},</code><br><code> year={2024},</code><br><code> eprint={2403.16393},</code><br><code> archivePrefix={arXiv},</code><br><code> primaryClass={cs.AI}</code><br><code>}</code></p> <p> </p>
Roman pavement of opus signinum, Tarraco
Roman pavement of opus signinum and white marble. 1st century B.C. - 1st century A.D. Pavement with the welcome inscription AVE SALVE inscribed with white marble tiles. It must have been part of the threshold of the door of some domus (house) of Tarraco. 352 photos completely processed in Reality Capture. The project was done with the support of the National Archaeological Museum of Tarragona and the Agència Catalana del Patrimoni Cultural. Catalog No. MNAT702. Museu Nacional Arqueològic de Tarragona (2019): Tarraco: Exposición de síntesis. Generalitat de Catalunya Publicacions. Source: Objaverse 1.0 / Sketchfab
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>
ChatGPT-4o, Claude 3 Opus, Gemini 1.0 Ultra, Gemini 1.5 Pro, and ChatGPT-4 responses on the Test of Understanding Graphs in Kinematics (TUG-K), April 2024
<p>The chatbots tested were Google's Gemini 1.0 Ultra, Google's Gemini 1.5 Pro (prompted through Google AI studio using default settings), Anthropic's Claude 3 Opus, OpenAI's ChatGPT-4o (using the latest model GPT-4o) and OpenAI's ChatGPT-4 (using the GPT-4 model). The prompts consisted only of screenshots of the test items. For Gemini 1.0 Ultra, the image was accompanied by the sentence "Answer the question in the image".</p> <p>The data, collected in April 2024, contains 30 responses from each chatbot to 26 items on the TUG-K survey. For ChatGPT using the GPT-4 model (ChatGPT-4), we provide two separate datasets. One complete dataset (all TUG-K items) without the use "advanced data analysis" plugin, and one with only those six items where the "advanced data analysis" plugin was automaticaly used by the chatbot. These two datasets partially overlap with the ChatGPT-4 dataset published previously (see link below).</p> <p>This dataset focuses on subscription-based chatbots and is a continuation of a previous dataset that focused on freely available chatbots(10.5281/zenodo.11183803).</p> <p> </p>
OPUS School Meal Study - Cross Sectional Analyses From Baseline Investigations
ClinicalTrials.gov study NCT01577277. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Neurocognitive Training Integrated in OPUS Treatment Versus OPUS Treatment-as-usual
ClinicalTrials.gov study NCT00472862. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Role of Oxytocin in Post-menopausal Osteoporosis: Evaluation on the Population of the OPUS Cohort
ClinicalTrials.gov study NCT01192893. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The OPUS YOUNG Trial. Early Intervention Versus Treatment as Usual for Adolescents With First-episode Psychosis
ClinicalTrials.gov study NCT04916626. IPD Sharing: NO. Countries: 1. Publications: 1.
OPUS School Meal Study
ClinicalTrials.gov study NCT01457794. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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