№ files_lp_3_process_7_041267
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TAWFN is a deep learning framework for predicting protein functions, providing evaluation metrics and comparisons with existing methods.
Year:
2023
Region / City:
N/A
Topic:
Protein Function Prediction
Document Type:
Research Supplementary Information
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers in protein function prediction, machine learning
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2019
Region / City:
Brussels, Rome, Ispra
Topic:
Ionosphere prediction, project progress, coordination
Document Type:
Progress Report
Organization / Institution:
Telespazio
Author:
Filippo Rodriguez
Target Audience:
EC, JRC, Project stakeholders
Period of Validity:
2016-2019
Approval Date:
23-Jan-2019
Revision Date:
1-Apr-2019
Year:
2015
Region / City:
Global
Topic:
Multivariable prediction model development and validation
Document Type:
Guidelines
Organization:
N/A
Author:
N/A
Target Audience:
Researchers, healthcare professionals
Period of validity:
N/A
Approval Date:
2015
Date of Changes:
N/A
Year:
2023
Region / City:
Azad Kashmir, Pakistan
Topic:
Rockburst prediction, tunnel construction
Document Type:
Research Paper
Organization / Institution:
Multiconsult AS, Norway
Author:
Jack Mierzejewski, Gary Peach, Bruce Ashcroft
Target Audience:
Engineers, Geologists, Construction professionals
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
Not specified
Region / city:
Not specified
Subject:
Multivariable prediction model development and validation
Document type:
Checklist
Organization / institution:
Not specified
Author:
Not specified
Target audience:
Researchers developing or validating prediction models
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Contextual description:
A checklist for researchers detailing essential items for reporting studies on developing and validating multivariable prediction models.
Year:
2019
Region / City:
N/A
Topic:
Risk of bias, prediction model studies
Document Type:
Research Tool / Guideline
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, Systematic Reviewers
Period of Application:
Ongoing
Approval Date:
N/A
Modification Date:
N/A
Note:
Year
Theme:
Astrology, Nadi Astrology
Document Type:
Methodology
Target Audience:
Astrologers, Students of Nadi Astrology, and General Public
Year:
2020
Region / City:
Not specified
Topic:
Deep learning, convolutional neural networks, survival analysis, radiomics
Document type:
Scientific article
Institution / Organization:
Not specified
Author:
He Kaiming, Sanghyun Woo, Zwanenburg A et al.
Target audience:
Researchers in machine learning, medical imaging, and survival analysis
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Document type:
Supplementary online content
Related study:
Personalized Prognostic Prediction of Treatment Outcome for Depressed Patients in a Naturalistic Psychiatric Hospital Setting: A Comparison of Machine Learning Approaches
Setting:
Naturalistic psychiatric hospital setting
Treatment providers:
Psychologists, postdoctoral fellows, clinical psychology interns, psychology practicum students, mental health counselors
Treatment format:
Group treatment
Adherence assessment:
Bi-annual fidelity assessments via live observation and checklists
Adherence rates:
89%–95%
Population:
Depressed patients, including individuals with MDD and comorbid diagnoses
Predictor variables:
Clinical measures, demographic characteristics, MDD history, comorbid diagnoses, treatment history, psychiatric medication use, physical health variables
Outcome measures:
PHQ-9, GAD-7
Statistical methods:
Random Forest imputation (missForest in R), Elastic Net Regression, Lasso, Ridge, Random Forest, Support Vector Machines, Bayesian additive trees, Super Learner, adaptive splines
Validation approach:
10-fold cross-validation and hold-out sample testing
Performance metrics:
Mean Absolute Error (MAE), Mean Squared Error (MSE), R2, squared correlation (r2) with 95% confidence intervals
Year:
2024
Region / City:
Nairobi, Kenya
Topic:
Consultancy services for the IGAD Emergency Grain Reserve
Document Type:
Request for Proposal (RFP)
Organization:
IGAD Climate Prediction and Applications Centre (ICPAC)
Target Audience:
Tenderers, Consultants, Experts
Period of validity:
90 days from tender submission deadline
Submission Deadline:
23 May 2024
Evaluation Completion Date:
30 May 2024
Contract Award Date:
7 June 2024
Contract Signature Date:
14 June 2024
Contract Start Date:
14 June 2024
Methodology:
Not applicable
Additional Notes:
Subcontracting not allowed
Confidentiality:
Evaluation process is confidential
Description:
This document is a Request for Proposal for consultancy services related to establishing an IGAD Emergency Grain Reserve, including technical offer guidelines and tender submission instructions.
Note:
Year
Topic:
Physics
Document Type:
Instruction Sheet
Target Audience:
Students
Project Number:
OFWG 01 2025S
APEC Forum:
Oceans and Fisheries Working Group (OFWG)
Proposing APEC Economy:
Korea
Co-sponsoring Economies:
Chinese Taipei; Peru; Singapore; Thailand
Expected Start Date:
01 Jan 2025
Project Completion Date:
31 Dec 2025
Project Title:
Climate Change Impact on Marine Ecosystem: Digital Monitoring and Prediction Tools
Total Cost of Project (USD):
Not specified
Project Outputs:
Conference; Project Completion Report
Project Overseer:
Hyun-Sung Yang
Title:
Full-time Research Scientist
Organization:
Korea Institute of Ocean Science and Technology
Contact Information:
Tel +82 64 798 6103; E-mail [email protected]
Project Objective:
Enhance marine biodiversity monitoring in APEC economies through the use of Autonomous Reef Monitoring Structures (ARMS) to address climate change impacts
Relevant Frameworks:
APEC Putrajaya Vision 2040; Aotearoa Plan of Action; OFWG Strategic Priorities
Year:
2024
Region / City:
Biobío, Chile
Topic:
Hepatocellular carcinoma, prognosis prediction, imaging techniques
Document Type:
Letter to the Editor
Organization / Institution:
World Journal of Gastrointestinal Surgery
Author:
Cristian Lindner
Target Audience:
Medical professionals, researchers in oncology and radiology
Effective Period:
2024
Approval Date:
August 28, 2024
Date of Revisions:
August 19, 2024
Keywords:
Hepatocellular carcinoma, Radiofrequency ablation, Transcatheter arterial chemoembolization, Prognosis, Magnetic resonance imaging, Radiomics, Artificial intelligence
DOI:
https://dx.doi.org/10.4240/wjgs.v16.i10.0000
URL:
https://www.wjgnet.com/1948-9366/full/v16/i10/0000.htm
Core Tip:
Emerging imaging techniques, particularly multiparametric magnetic resonance imaging and radiomics, enhance prognostic models for hepatocellular carcinoma (HCC) treated with radiofrequency ablation and transarterial chemoembolization. Incorporating advanced imaging features alongside clinical factors refines prediction accuracy, aiding personalized treatment and improving patient outcomes.
Year:
2026
Region / city:
Global
Theme:
Genomic prediction, Sorghum plant height, UAV
Document type:
Research article
Institution:
University of Tokyo
Author:
Kakeru Watanabe, Wei Guo, Keigo Arai, Hideki Takanashi, Hiromi Kajiya-Kanegae, Masaaki Kobayashi, Kentaro Yano, Tsuyoshi Tokunaga, Toru Fujiwara, Nobuhiro Tsutsumi, Hiroyoshi Iwata
Target audience:
Researchers, Agronomists, Genomic scientists
Date of approval:
2026-02-22
Date of changes:
None
Date of publication:
2026-02-22
Keywords:
Sorghum, UAV, Genomic prediction, High-throughput phenotyping
Context:
A research article presenting the use of unmanned aerial vehicles for high-throughput phenotyping of sorghum plant height and its integration into genomic prediction models.
Year:
2023
Region / City:
Not specified
Theme:
Word formation in linguistics
Document Type:
Academic article
Author:
Kurglikova Margarita Yuryevna
Target Audience:
Linguistics researchers, English language educators
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2025
Region / City:
Geneva
Subject:
Radio-wave propagation
Document Type:
Recommendation
Organization / Institution:
ITU
Author:
ITU Radiocommunication Sector
Target Audience:
Radiocommunication professionals, researchers in wireless technologies
Validity Period:
2025
Approval Date:
September 2025
Date of Last Revision:
2025
Keywords:
Indoor propagation, basic transmission loss, delay spread, antenna radiation pattern, building materials
Scope:
Guidance on indoor propagation over the frequency range from 300 MHz to 450 GHz
Related Recommendations:
ITU-R P.676, ITU-R P.1407, ITU-R P.1411, ITU-R P.2040
Context:
A technical guideline on indoor radio propagation characteristics and prediction methods for system planning in the frequency range from 300 MHz to 450 GHz.
Year:
2021
Region / City:
Cornwall, UK
Topic:
Site security services
Document type:
Invitation to Tender
Issuer:
Eden Geothermal Limited
Target audience:
Potential tenderers for security services
Validity period:
Until 23rd February 2021
Approval date:
2nd February 2021
Revision:
Ver 1.0
Year:
2021
Region / City:
Cornwall, UK
Topic:
Geology services for geothermal project
Document Type:
Tender Invitation
Issuer:
Eden Geothermal Limited
Target Audience:
Potential suppliers of geology services
Period of validity:
Until 10th February 2021
Submission Deadline:
10th February 2021 at 16:00
Revision:
Ver 2.0
Release Date:
18th January 2021
Evaluation Process:
Technical and commercial evaluation
Confidentiality:
Confidential
Language:
English
Year:
2020
Region / City:
Cornwall, UK
Topic:
Health and safety advice for geothermal development
Document Type:
Tender Invitation
Issuing Organization:
Eden Geothermal Limited
Author:
Augusta Grand, Executive Director
Target Audience:
Potential tenderers
Valid Until:
15th October 2020
Approval Date:
21st September 2020
Amendment Date:
Not specified
Note:
Year
Institution / organization:
UN WOMEN
Document type:
Electronic transmittal form
Issuing authority:
Department of Energy and Environmental Protection
Division:
Remediation Division, PCB Program, Leaking Underground Storage Tank Coordination Program
Jurisdiction:
Connecticut
Submission platform:
Connecticut Secure File Transfer website
Applicable programs:
Remediation, LUST, PCB
Required file format:
PDF/A
File naming conventions:
Program-specific standardized naming format
Required information:
Program identification, site information, document information, submitter information
Intended users:
Environmental consultants, regulated entities, program submitters