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619 results for “Adoption”
Figure 7 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 7 - Mobile app for sporadic observations reporting.
Figure 2 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 2 - The Plazi workflow (green) within EU BON.
Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant
<p class="MsoNormal"><span>Artificial intelligence (AI) has come to human life in various forms. As external activities decrease after COVID-19, people treat voice intelligent assistant (VIA) as a friend or secretary. This study suggests a conceptual model to identify the contributors to the continuance intention of VIA users. Data is collected from 262 users who use VIAs in their daily life for validating the model. The current research conducted partial least square structural equation modeling to validate the proposed model. The findings indicated that cabin fever syndrome significantly affects both utilitarian motivation and hedonic motivation. Loneliness in COVID-19 causes utilitarian motivation. The results verified that utilitarian motivation is the determinant of perceived usefulness, interaction, and voice attractiveness. The findings of the study figured out that hedonic motivation has a significant influence on interaction, parasocial interaction, and voice attractiveness. The analysis uncovered that interaction impacts satisfaction and continuance intention. The findings validated that voice attractiveness is significantly associated with satisfaction. Satisfaction is the determinant of continuance intention.</span></p>
Does It Spin? On the Adoption and Use of QUIC's Spin Bit
<pre>This repository contains the extracted raw spin bit values as used in our paper as well as golang scripts for analyzing them. ## Publication * Ike Kunze, Constantin Sander, and Klaus Wehrle: *Does It Spin? On the Adoption and Use of QUIC’s Spin Bit. In Proceedings of the ACM Internet Measurement Conference 2023 (IMC '23), 2023. If you use any portion of our work, please consider citing our publication. ``` @Inproceedings { 2023-kunze-spin-bit-in-the-wild, author = {Kunze, Ike and Sander, Constantin and Wehrle, Klaus}, title = {Does It Spin? On the Adoption and Use of QUIC’s Spin Bit}, booktitle = {Proceedings of the Internet Measurement Conference (IMC '23)}, year = {2023}, month = {10}, publisher = {ACM}, doi = {TBD} } ```</pre> <p>## Use</p> <p>1. Decompress the dataset:</p> <p>For using the data set, first untar the data.</p> <p>```<br> tar -xzf <a href="https://zenodo.org/api/files/8677e735-1668-46d6-afcf-2f57b9e4e0b2/extracted-spin-bit-values.tar.gz?versionId=0b2e3f22-4a1b-437d-8e64-47121c27780c">extracted-spin-bit-values.tar.gz</a></p> <p>```</p> <p>1.1 Data format:</p> <p>The files contained in the data set each contain line-wise dictionaries with the following content:</p> <p>- QlogRTTs: RTTs as provided by the QUIC stack via qlog</p> <p>- SentSpinBits: all packets sent out by our client, each containing a timestamp, the spinbit value (Val) and the packet number (PN)</p> <p>- RecvSpinBits: all packets received by our client, each containing a timestamp, the spinbit value (Val) and the packet number (PN)</p> <p> 2. Compile golang module:</p> <p>We use a golang module for analyzing the data.<br> Compile the module using</p> <p>```<br> go build -o analyze-spinbit analyze-spinbit.go<br> ```</p> <p>3. Analyze individual files: </p> <p>You can analyze the files by running the compiled `analyze-spinbit` program on individual files.<br> <br> ```<br> cat FILE_TO_ANALYZE | ./analyze-spinbit -buffer 1073741824 -logfile LOGFILENAME -outputfilebasename OUTPUTFILENAME --batchsize 1000000 --outputsuffix json<br> ```</p> <p>4. Output format:</p> <p>Line-wise dictionaries containing:</p> <p>- which spin mode was detected</p> <p>- number of considered packets</p> <p>- real RTTs based on QUIC stack estimates</p> <p>- minimum RTT based on QUIC stack estimates</p> <p>- RTTs as calculated via the spin bit</p> <p>- RTTs as calculated via the spin bit when reordering the packets using the packet numbers</p>
Does It Spin? On the Adoption and Use of QUIC's Spin Bit -- Raw zgrab2 toplist results
<p>In the following you can find the raw measurements of our IMC'23 paper "Does It Spin? On the Adoption and Use of QUIC’s Spin Bit" for the publicly available toplists.</p>
CMV pp65 Specific T Cell Adoptive Immunotherapy in Allogeneic Stem Cell Transplantation for Malignant Disease
ClinicalTrials.gov study NCT00611637. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Adopting and Demonstrating the Adaptation of Prevention Techniques: Community PROMISE PLUS
ClinicalTrials.gov study NCT00267436. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Adoptive Immunotherapy for CMV Disease
ClinicalTrials.gov study NCT00159055. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Adoptive T Cell Therapy Following HER2-Pulsed Dendritic Cell Vaccine & Pepinemab /Trastuzumab in Patients w/ Metastatic HER2+ Breast Cancer
ClinicalTrials.gov study NCT05378464. IPD Sharing: NO. Countries: 1. Publications: 0.
Positron Emission Tomography and CT Scan in Predicting Response in Patients With Metastatic Melanoma or Kidney Cancer Who Are Undergoing Cellular Adoptive Immunotherapy on a Surgery Branch Clinical Tr
ClinicalTrials.gov study NCT00316901. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Adoption, Acceptability, and Effectiveness of a Mobile Health App for Personalised Prostate Cancer Survivorship Care.
ClinicalTrials.gov study NCT03207113. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effectiveness of Adopting Humanized Service Program on Transvaginal Ultrasound About Women's Service Quality and Satisfaction
ClinicalTrials.gov study NCT01208597. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Multi-Institution Study of TGFβ Imprinted, Ex Vivo Expanded Universal Donor NK Cell Infusions as Adoptive Immunotherapy in Combination With Gemcitabine and Docetaxel in Patients With Relapsed or Ref
ClinicalTrials.gov study NCT05634369. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
N-803 in Patients With Progressive Synovial Sarcoma and Myxoid/Round Cell Liposarcoma Previously Treated With Adoptive Cellular Therapy
ClinicalTrials.gov study NCT07261657. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cellular Adoptive Immunotherapy in Treating Patients With Stage III or Stage IV Ovarian Cancer or Primary Peritoneal Cancer
ClinicalTrials.gov study NCT00101257. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Allogeneic Stem Cell Transplantation With Adoptive Immunotherapy in Epstein-Barr Virus Positive Recurrent/Refractory Hodgkins Lymphoma
ClinicalTrials.gov study NCT01636388. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Combining PD-1 Blockade, CD137 Agonism and Adoptive Cell Therapy for Metastatic Melanoma
ClinicalTrials.gov study NCT02652455. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ADOPT-PRESTAGE: Study Evaluating the Impact of the Program PRESTAGE
ClinicalTrials.gov study NCT03296150. IPD Sharing: NO. Countries: 1. Publications: 0.
Improving Self-Regulation Among Adopted Children
ClinicalTrials.gov study NCT04061031. IPD Sharing: NO. Countries: 1. Publications: 0.
Sustainable Household Energy Adoption in Rwanda (SHEAR)
ClinicalTrials.gov study NCT05668624. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
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