№ files_lp_4_process_2_42985
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Study on the predictive modeling of Loss-in-Weight feeder behavior in continuous and semi-continuous pharmaceutical manufacturing using Machine Learning, integrating experimental and literature data for multiple materials and feeder configurations.
Year:
2023
Region / City:
UK, Germany
Subject:
Pharmaceutical engineering, process modeling
Document type:
Research article
Institution / Organization:
Strathclyde University; AstraZeneca UK Limited; GSK Ware R&D; Pfizer Research and Development UK Ltd; DFE Pharma GmbH & Co. KG
Authors:
Hikaru G. Jolliffe, Carlota Mendez Torrecillas, Gavin Reynolds, Richard Elkes, Hugh Verrier, Michael Devlin, Bastiaan Dickhoff, John Robertson
Target audience:
Pharmaceutical engineers, process scientists, data scientists
Methodology:
Machine Learning modeling of Loss-in-Weight feeder performance
Materials studied:
19 excipients, 2 generic APIs, 25 API grades/batches from literature
Equipment studied:
GEA Compact Feeder, Gericke GZD200.22
Data type:
Experimental and literature-derived datasets
Validation:
Comparison of predicted feeder performance against industrial targets
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Country:
South Africa
Organization:
South African Nuclear Energy Corporation SOC Ltd
Bid number:
FIN-SCM-TEN-0063
Bid description:
Supply of assembled shredder, hopper and screw feeder
Closing date:
05 July 2024
Closing time:
11:00 am
Bid validity period:
90 days
Delivery location:
Necsa Gate 3, Pelindaba, Madibeng Municipality, North West
Project name:
NW PlasGas Project
Type of document:
Invitation to bid
Procurement framework:
Preferential Procurement Policy Framework Act and Preferential Procurement Regulations, 2022
Evaluation system:
90/10 preference point system
Applicable standards:
ISO 14001, OHSAS 18001, ISO 9001, ISO 17025, RD 0034
Contact person:
Mr Buyani Nsibande
Issuing institution policies:
Necsa SHEQ and Supply Chain Management policies
Year:
2024-25
Region / City:
Kukatpally, Hyderabad
Subject:
Electrical Works
Document Type:
Bidding Document
Organization:
Southern Power Distribution Company of Telangana Ltd.
Author:
Southern Power Distribution Company of Telangana Ltd.
Target Audience:
Contractors eligible for electrical work
Period of Validity:
Till 05.03.2025
Approval Date:
02.2025
Date of Changes:
N/A
Year:
2017
Region / City:
N/A
Topic:
Feeder protection relay
Document Type:
Technical specification
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Engineers, electrical specialists
Effective Period:
N/A
Approval Date:
N/A
Revision Date:
N/A
Note:
Contextual Description
Note:
Year
Context:
A technical specification document outlining mechanical and functional characteristics for compact feeder management relays, including protection, control, and monitoring features.
Year:
2022
Region / City:
United States of America
Topic:
Satellite communication, frequency bands
Document Type:
Working Document
Organization / Institution:
ITU-R WP 4A
Author(s):
Don Jansky, Damon C. Ladson, Calil Queiroz
Target Audience:
Technical experts, policy makers, telecommunications professionals
Period of validity:
N/A
Approval date:
24 June 2022
Date of revisions:
14 September 2022
Year:
2025
Region / City:
Rajendranagar, Telangana
Subject:
Electrical Distribution Infrastructure
Document Type:
Tender Notification
Organization:
Southern Power Distribution Company of Telangana Limited
Author:
Superintending Engineer, Operation, Rajendranagar Circle
Target Audience:
Contractors and suppliers
Service Cost:
8,88,546.31 INR
Tender Processing Office:
SE/OP/RJNR
Tender Number:
07/24-25
Tender Period:
04.01.2025 – 11.01.2025
Submission Deadline:
11.01.2025 15:00 hrs
Opening Date:
11.01.2025 16:00 hrs
Reservation Category:
SC
Year:
2023
Region / City:
United States
Subject:
Mathematics – Fractions
Document Type:
Lesson Plan / Educational Task
Institution:
NYC Public Schools
Grade Level:
5th Grade
Standards:
NC.5.NF.4, Standards for Mathematical Practice
Materials:
Paper, pencil, optional color tiles, fraction bars
Task Type:
Word problems with fraction multiplication
Learning Objectives:
Apply and extend multiplication of fractions, solve one-step word problems, use models and equations
Assessment Criteria:
Rubric with Level I–III performance indicators
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:
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