№ files_lp_3_process_7_040876
File format: docx
Character count: 35275
File size: 61 KB
Microalgae are exploited for the production of high-value polysaccharides with various biological activities, and this chapter discusses the innovative extraction methods, their health benefits, and industrial applications.
Year:
2026
Region / city:
Spain, Ireland
Subject:
Algal polysaccharides, extraction technologies, health benefits, industrial applications
Document type:
Research chapter
Institution:
University of Cartagena, Universitat Politècnica de València, University of Zaragoza, University College Dublin
Author:
Clemente-Carazo, M.; Sanchez, V.; Condon-Abanto, S.; Marco Garcia-Vaquero, M.
Target audience:
Researchers, industry professionals in biotechnology, food science, and pharmaceuticals
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2013
Region / city:
United States
Theme:
Environmental Science, Climate Change, Renewable Energy
Document Type:
Research Paper
Organization / Institution:
Not specified
Author:
Jasper Wu, Professor Aubertin
Target Audience:
Academic, Researchers in Environmental Science and Renewable Energy
Period of Action:
Ongoing
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
Topic:
Biochemistry
Document type:
Worksheet
Target audience:
Students
Document type:
User guide
Application name:
GLINFO.EXTRACT
Domain:
Core banking systems
Platform:
Temenos T24
Release availability:
R19 and above
Compliance:
GDPR
Compatibility:
TAFC and TAFJ
Report output location:
&HOLD& table
Report naming:
Same as utility name
Initial draft date:
16 Feb 2019
Latest update date:
28 Aug 2023
Version:
1.1
Authors:
Gomathi G; Srivathsan; Julian Titus; Satish Sundaram; Sangeetha Ravichandran; Gnaneswaran Sivakumar
Maintaining organization:
Temenos
Intended use:
Support and issue analysis
Source type:
Technical product documentation
Year:
2021
Region / City:
Not specified
Topic:
RNA Extraction
Document Type:
Standard Operating Procedure (SOP)
Organization:
Not specified
Author:
Subash Kumar Rai
Target Audience:
Laboratory Personnel
Effective Date:
28 Oct 2021
Date of Approval:
28 Oct 2021
Date of Last Review:
Not specified
Period of Validity:
Indefinite
Date of Revision:
Not specified
Note:
Year
Document Type:
Instructional Guide
Organization / Institution:
CSI
Target Audience:
Schools using Enrich for Plan Management System
Year:
2016
Region / city:
Sydney
Subject:
DNA/RNA extraction, laboratory safety
Document type:
Standard Operating Procedure
Organization:
The University of Sydney
Author:
Coleman, N.; Nikolic, A.
Target audience:
Laboratory personnel, researchers
Period of validity:
Ongoing
Approval date:
Not specified
Modification date:
Not specified
Year:
2025
Region / State:
Colorado
Document Type:
Procedural Guide
Organization:
CSI
Target Audience:
School staff using Enrich for Plan Management System
File Types:
Child, Participation
Submission Method:
Google Drive
System:
Enrich
Data Collection:
December Count, SPED End of Year
Year:
2015
Region / city:
Global
Topic:
RNA extraction, clinical samples, FTA cards
Document Type:
Protocol
Organization:
CDC, GMRLN, WHO
Author:
CDC
Target Audience:
Laboratory professionals
Period of validity:
N/A
Approval Date:
01/27/2015
Date of Changes:
N/A
Year:
Unclear
Region / city:
Unclear
Theme:
Psychiatry, Epilepsy, Intellectual Disability
Document type:
Data extraction form, checklist, summary
Organization / institution:
Cochrane Collaboration
Author:
Unclear
Target audience:
Researchers, clinicians in psychiatry and neurology
Period of validity:
Unclear
Approval date:
Unclear
Date of changes:
Unclear
Year:
2020
Region / City:
CERN
Topic:
Energy extraction facilities, testing, safety
Document Type:
Test Procedure
Organization / Institution:
CERN
Author:
G. J. Coelingh
Target Audience:
Technical personnel involved in the maintenance and testing of LHC systems
Period of Validity:
2020-05-20
Approval Date:
2020-05-20
Date of Changes:
2020-05-20
Year:
2014
Region / city:
US, Puerto Rico, US Virgin Islands
Theme:
Environmental impact of mining and quarrying
Document Type:
Technical report
Organization / institution:
U.S. Environmental Protection Agency
Author:
U.S. Environmental Protection Agency
Target audience:
Environmental researchers, policymakers, industry professionals
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Note:
Description
Year:
2003
Region / City:
North America
Topic:
Mining, Sustainability, Indigenous Communities
Document Type:
Educational Module
Institution:
Michigan Technological University
Author:
Dr. Carol MacLennan
Target Audience:
Students, Researchers
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Note:
Year
Theme:
Prosthodontics
Document Type:
Clinical Case Report
Organization / Institution:
Dr. R Ahmed Dental College & Hospital
Target Audience:
Dental Professionals
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
Version:
1.0
Note:
Document History
Applications involved:
SAP IRPA Cloud Studio, Excel to store the extracted fields, Database and a form to fill the fields, Client pdfs to extract the data fields
Dependencies:
Core SDK, Excel SDK, PDF SDK, Word SDK, Sap_Dox SDK
Input:
Description
Validation rule:
To extract the required fields from pdfs and to fill the form in database.
Condition:
Fields and values to fill on database to be attached.
Notification:
Notification message as it successfully posted data to database.
Step 1:
Bot collects pdfs from file repository.
Step 2:
Next it opens Excel to put the extracted field values from pdf.
Step 3:
By using For Each loop bot opens the pdf one by one.
Step 4:
Apply Extract data (Trained model) activity to extract required values.
Step 5:
Next it extracts the required fields from pdf through above activity.
Step 6:
Later all these values set into the Excel and close the pdf.
Step 7:
Next Bot opens Excel workbook which contains data for Form Filling.
Step 8:
Open Form to be filled on browser.
Step 9:
Extract data from excel and input it into available fields in the form.
Step 10:
Close the browser application once a line item is done.
Step 11:
Repeat the process until all the line items in the excel is input in the form.
Step 12:
Close excel workbook once all line items are done.
Reduce the time required to process a document:
Use sample document files to create templates to extract information from other similar business documents.
Template-based Extraction:
Automate the extraction of relevant information from business documents. The Document API takes document files as input and returns header fields and line items as structured data.
Automated invoice posting to Database:
Although we guarantee high adoption using PDF Invoicing, using our expertise, we work with all your suppliers to bring those remaining or hesitant on-board using PDF Invoicing, to bring optimal solution benefit.
Institution:
Clinic Nişantaşı Oral and Dental Health Polyclinic
Document Type:
Patient Information and Consent Form
Medical Procedure:
Tooth Extraction
Anesthesia Type:
Local Anaesthesia
Subject:
Interventional Risks, Recommendations and Complications
Treatment Alternatives:
Root Canal Treatment; Gingival Surgery; Crown; Filling
Medication:
Antibiotics; Painkillers (Anti-inflammatory Analgesics); Mouthwash
Patient Declaration:
Acceptance of Treatment and Informed Consent
Data Use Consent:
Use of Medical Information for Scientific Research and Education in Compliance with Patient Rights and Ethical Principles
Required Statement:
"I have read, I understand, I accept"
Execution Details:
Date and Signatures
Year:
2018–2021
Type:
Systematic Review Methods and Supplementary Materials
Content:
Automated citation searching, seed article selection, baseline characteristics extraction, performance metrics
Data Sources:
CEEDER, OpenAlex, Semantic Scholar
Study Types:
Research Articles, Evidence Syntheses
Metrics:
Recall, Precision, F1, F2, F3 Scores
Figures:
S1–S7 (Performance comparisons and boxplots)
Tables:
S1 (Sample Systematic Review Characteristics)