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This document provides detailed instructions for filling out the template used by institutions to report on interest rate risk (IRRBB) and credit spread risk (CSRBB) in their banking book as part of the SREP data collection process.
Year:
YYYY
Note:
Region / City
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Year:
2019
Region / City:
Australia
Topic:
Interest Rate Risk in Banking
Document Type:
Regulatory Standard
Institution:
Australian Prudential Regulation Authority (APRA)
Author:
Alison Bliss
Target Audience:
Authorized deposit-taking institutions (ADI)
Effective Period:
From 1 October 2019
Approval Date:
10 September 2019
Amendment Date:
Not specified
Context:
This document outlines the Reporting Standard ARS 117.1 for reporting interest rate risk in the banking book for authorized deposit-taking institutions in Australia.
Year:
2019
Region / City:
England
Topic:
General Practice, Workforce Development
Document Type:
Programme Update
Organization:
Health Education England (HEE)
Author:
Health Education England (HEE)
Target Audience:
Primary Care Professionals, Training Hubs
Period of Implementation:
12 months, starting April 2019
Approval Date:
February 2019
Date of Changes:
May 2019
Document Number:
12-02
Date:
January 31, 2012
Distribution:
Internal Bridge Designers Only
Subject:
In-House New LRFD Spread and Pile Cap Footing Analysis Program Version 1.0 Trials
Contact:
Gregory Sanders; Suresh Patel
EPG Status:
NA
Effective Date:
Immediately
Expiration/Duration:
Upon Completing Trials
Issuing Section:
Development Section
Related Specifications:
AASHTO LRFD Specifications
Related Software:
RCPIER substructure analysis and design program
Supersedes:
Original in-house ASD/LFD (AASHTO 17th Ed.) program Version 3.0
Programming Language:
C-Sharp (#)
Implementation Status:
Trial
Review Status:
Under Review (EPG 751.38; EPG 751.36)
Year:
2023
Region / City:
Keystone
Topic:
Structural Engineering, Foundation Analysis
Document Type:
Engineering Report
Author:
Engineering Team
Target Audience:
Structural Engineers, Construction Teams
Period of Action:
Renovation Phase
Approval Date:
N/A
Date of Changes:
N/A
Note:
Year
Topic:
Infection control, health guidance
Document Type:
Non-statutory guidance
Organization / Institution:
Public Health England (PHE)
Author:
Public Health England
Target Audience:
Schools, childcare settings
Effective Period:
Ongoing
Year:
2025
Region:
Thrissur and Ernakulam districts, Kerala, India
Subject:
Agricultural marketing, Horticulture, Geographical Indications
Document type:
Research article
Institution:
Local agricultural research institutions
Authors:
Jagadeesh, Ahmad, Sharma, Vachhani
Target audience:
Farmers, market intermediaries, policymakers, agricultural researchers
Study period:
February–May 2025
Crop:
Kodungallur snap melon (Cucumis melo var. momordica)
GI recognition date:
November 2022
Methods:
Cross-sectional survey, Acharya’s Modified Marketing Efficiency, Garrett’s ranking
Marketing channels analyzed:
Direct producer–consumer, farmer–retailer–consumer, multi-intermediary contractor channels
Key findings:
Direct marketing yields highest producer share and efficiency; price fluctuations and perishability limit adoption; marketing costs increase with channel length
Subject:
Describing quantitative data in statistics
Document type:
Preparation assignment worked solutions
Academic field:
Statistics
Educational level:
Introductory statistics course
Institutional context:
University coursework
Section structure:
Concepts and Application
Key statistical topics:
Distribution shape, center, spread, standard deviation, variance, percentiles, quartiles, five-number summary, boxplot
Data context:
Stock performance data for companies A–E
Analytical methods:
Mean calculation, standard deviation, variance estimation, histogram comparison
Software referenced:
Excel spreadsheet “Quantitative Descriptive Statistics”
Sample datasets mentioned:
MysteryInvestmentOpportunities; Severe Bird Flu Data
Exercises included:
Concept matching, term definitions, descriptive statistics computation, histogram creation, manual standard deviation calculation
Number of companies analyzed:
Five
Sample sizes in dataset:
n = 25–49 depending on company
Educational activity:
Explaining statistical concepts to a non-statistics learner
Year:
2026
Institution:
BYU-Idaho
Subject:
Statistics / Data Analysis
Type of document:
Homework assignment with solutions
Target audience:
Undergraduate students
Topics covered:
Measures of central tendency, measures of dispersion, data distribution, boxplots, histograms
Data sets analyzed:
Wrong-patient lawsuit costs, student hourly wages, study hours, Plutonium-238 concentration, student ages
Assessment type:
Exercises with numerical calculations and conceptual questions
Methodology:
Use of boxplots, histograms, calculation of mean, median, standard deviation, variance, identification of outliers, distribution shapes
Level:
Introductory statistics course
Format:
Questions with provided solutions and explanations
Question 3:
Briefly explain how the World Bank classifies countries as high-, middle- or low-income.
Question 4:
The following graph shows the rate of DALY per 100 000 (‘000s). Source: Adapted form IHME, 2021. Using data, outline one similarity and one difference between high- and low-income countries as shown in the graph. 2 marks Similarity: Difference: Using your own knowledge, identify one other similarity and one other difference in health status between high- and low-income countries. 2 marks What is meant by poverty? 1 mark Explain two ways that poverty contributes to the difference identified in part b. 4 marks
Question 5:
The marketing of tobacco in low- and middle-income countries has increased over time. Briefly explain how the marketing of tobacco contributes to burden of disease in low- and middle-income countries.
Year:
2021
Region / City:
Global
Theme:
COVID-19 impact on education, discrimination based on sexual orientation, and health outcomes
Document type:
Educational resource
Author:
World Bank
Target Audience:
Students, educators, policy makers
Period of validity:
Ongoing
Approval date:
Not specified
Date of changes:
Not specified
Year:
1982–2012
Region:
South Dakota, USA
Subject:
Wildlife trapping regulations
Document type:
Legal regulation
Authority:
South Dakota Codified Laws (SDCL) 41-2-18(14), 41-8-20
Source:
South Dakota Register 9 SDR 30, 10 SDR 76, 10 SDR 102, 13 SDR 26, 14 SDR 40, 30 SDR 21, 39 SDR 33
Effective dates:
September 13, 1982; July 1, 1984; September 10, 1986; September 23, 1987; August 25, 2003; September 5, 2012
Restrictions:
Jaw spread limits for body grip traps above water and on public lands, placement requirements for traps with bait
Context:
Legal regulation specifying limits and conditions for setting body grip traps, detailing size restrictions, placement, and applicable public areas.
Year:
2024-2025
Region / City:
Portarlington
Topic:
Committee Roles and Responsibilities
Document Type:
Position Description
Organization:
PNH
Author:
PNH Committee
Target Audience:
PNH Committee Members
Effective Date:
2024-2025
Date Approved:
2024-03-09
Date of Changes:
2024-03-09
Year:
2026
Subject:
Statistics / Data Analysis
Document Type:
Educational Exercise
Target Audience:
Students learning descriptive statistics
Topics Covered:
Mean, Median, Standard Deviation, Interquartile Range, Outliers
Includes Examples:
Yes
Exercise Count:
7
Data Sets Provided:
Multiple small numeric sets
Application Context:
Analysis of variability and central tendency in data
Year:
2012
Region / City:
Global
Subject:
Social contagion, Social networks
Document Type:
Blog post
Author:
T.C.
Target Audience:
General public, researchers in social sciences and epidemiology
Date of approval:
April 3, 2012
Date of changes:
None
Note:
Contextual description
Year:
2016
Region / city:
Western Indian Ocean Islands
Theme:
Invasive Species Management
Document Type:
Project Report
Organization / institution:
IUCN
Author:
Unknown
Target Audience:
Key stakeholders in environmental conservation, biodiversity, and project management
Period of validity:
2011-2016
Approval Date:
2015
Amendment Date:
2016