223 research outputs found
Community-based disaster risk management and the media
No full textThe Media Kit was developed through the Partnerships for Disaster Reduction - Southeast Asia Phase 3 (PDRSEA 3) jointly implemented by the Asian Disaster Preparedness Center (ADPC) and the UNESCAP with funding support from DIPECHO.
This Media Kit has been developed as a guide for media professionals in the five countries: i) as a Handout for the National Orientation Workshop for Media; ii) to raise the awareness of media about its role in disaster risk reduction; and iii) to enable them to perform that role in an effective manner. The Handbook is comprised of two parts. Part one explains the key concepts of disaster and media, CBDRM, the role of media in disaster risk management, and useful information for the media on disaster preparedness. Part two includes country-based resources such as hazard profiles, case studies on CBDRM. and contact information of national and regional organizations engaged in disaster risk management.Project jointly implemented by ADPC and UNESCAP with
funding support from DIPECH
Guidebook on advocacy : integrating CBDRM into local government policy and programmes
No full textThe present guidebook aims to develop and strengthen the skills and knowledge of stakeholders
on designing and implementing advocacy strategies to integrate CBDRM into policy, planning and
programming of local authorities in South East Asian countries.
The materials included in the report have been selected from the outputs of a regional workshop on
CBDRM advocacy that was held by the Asian Disaster Preparedness Center (ADPC) in Bangkok
from 18-21 April 2006. Leading CBDRM practitioners and authorities from PDRSEA-3 project
countries participated in this workshop and had deliberations over the process, approaches,
principles, strategies and tools of CBDRM advocacy as employed by themPartnerships for Disaster Reduction - Southeast Asia Phase 3 (PDRSEA3) Project jointly implemented by ADPC and UNESCAP with funding support from DIPECHOcontents
I Preface
III Contents
V Acknowledgement
01 Introduction
part one.
DEFINING ADVOCACY FOR CBDRM
08 What is Community-based Disaster Risk Management (CBDRM)?
09 Advocacy for integrating CBDRM into government policy and
programming
10 What is Advocacy?
10 Principles of CBDRM Advocacy
11 Steps of Advocacy
13 Advocacy Strategies
14 Two Case Studies
14 Lessons from Mainstreaming Environment Focus on Advocacy Strategy
16 Showcasing Effective Advocacy: Four Examples from the UNIFEM Asia Pacific and Arab States Regional Program on Migration
part two.
PROGRESS OF CBDRM ADVOCACY IN SOUTHEAST ASIA
22 Stakeholder Analysis
30 Review of CBDRM Advocacy Strategies in Southeast Asia
30 Experiences and Process
part three.
THE WAY AHEAD: KEY MESSAGES AND GUIDELINES
34 Key Messages
34 Sample Key Messages on Why to Integrate CBDRM into Government Planning: Conveying Benefits of CBDRM
35 Key Messages Developed by the Advocacy Workshop Participants
37 What do We Expect Authorities to do to Integrate CCDRM in the Local National Authority System?
38 Guidelines on Advocacy for Integrating CBDRM into Government Policy and Programming
41 BIBLIOGRAPHY
43 APPENDIX
Unexpected property of ectoine synthase and its application for synthesis of the engineered compatible solute ADPC
No full textA new cyclic amino acid was detected in a deletion mutant of the moderately halophilic bacterium Halomonas elongata deficient in ectoine synthesis. Using mass spectroscopy (MS) and nuclear magnetic resonance (NMR) techniques, the substance was identified as 5-amino-3,4- dihydro-2H-pyrrole-2-carboxylate (ADPC). We were able to demonstrate that ADPC is the product of a side reaction of lone ectoine synthase (EC 4.2.1.108), which forms ADPC by cyclic condensation of glutamine. This reaction was shown to be reversible. Subsequently, a number of ectoine derivatives, in particular 4,5-dihydro-2-methylimidazole-4- carboxylate (DHMICA) and homoectoine, were also shown to be cleaved by ectoine synthase, which is classified as a hydro-lyase. This study thus reports for the first time that ectoine synthase accepts more than one substrate and is a reversible enzyme able to catalyze both the intramolecular condensation into and the hydrolytic cleavage of cyclic amino acid derivatives. As ADPC supports growth of bacteria under salt stress conditions and stabilizes enzymes against freezethaw denaturation, it displays typical properties of compatible solutes. As ADPC has not yet been described as a natural compound, it is presented here as the first man-made compatible solute created through genetic engineering
Advanced Data Protection Control (ADPC): An Interdisciplinary Overview
No full textThe Advanced Data Protection Control (ADPC) is a technical specification -
and a set of sociotechnical mechanisms surrounding it - that can change the
current practice of Internet-based personal data protection and consenting by
providing novel and standardized means for the communication of privacy and
consenting data, meta-data, information, requests, preferences, and decisions.
The ADPC supports humans in practicing their rights to privacy and agency by
giving them more human-centric control over the processing of their personal
data and consent. It helps the data controllers to improve their users'
experiences and provides them with easy-to-adopt means to comply with the
relevant legal and ethical requirements and expectations
Low-Voltage Substation Area Topology Recognition Method Based on AKNN Anomaly Detection and ADPC Clustering
No full textThe accurate record of topology information of the low-voltage station area is the basis for line loss analysis and three-phase imbalance control. Aiming at the problem of high cost and low efficiency of topology file investigation at present, a low-voltage substation area topology recognition method is proposed based on adaptive k nearest neighbor (AKNN) anomaly detection and adaptive density peaks clustering (ADPC). The similarity of voltage series between users in the low-voltage substation area is measured using dynamic time warping (DTW), and the abnormal relationship between users and transformer is checked and corrected with the AKNN anomaly detection algorithm. After getting the right relationship, the ADPC algorithm is used to identify the phase for users in the substation area. Finally, the case study of the actual substation area proves that the proposed method can effectively realize the topology identification of the low-voltage substation area without human parameter setting, and has high applicability and accuracy
Structural basis for high-affinity adipate binding to AdpC (RPA4515), an orphan periplasmic-binding protein from the tripartite tricarboxylate transporter (TTT) family in Rhodopseudomonas palustris.
No full textThe Tripartite Tricarboxylate Transporter (TTT) family is a poorly characterised group of prokaryotic secondary solute transport systems, which employ a periplasmic substrate binding-protein (SBP) for initial ligand recognition. The substrates of only a small number of TTT systems are known and very few SBP structures have been solved, so the mechanisms of SBP-ligand interactions in this family are not well understood. The SBP RPA4515 (AdpC) from Rhodopseudomonas palustris was found by differential scanning fluorescence and isothermal titration calorimetry to bind aliphatic dicarboxylates of a chain length of six to nine carbons, with KD values in the μM range. The highest affinity was found for the C6-dicarboxylate adipate (1,6-hexanedioate). Crystal structures of AdpC with either adipate or 2-oxoadipate bound revealed a lack of positively charged amino-acids in the binding pocket and showed that water molecules are involved in bridging hydrogen bonds to the substrate, a conserved feature in the TTT SBP family that is distinct from other types of SBP. In AdpC, both of the ligand carboxylate groups and a linear chain conformation are needed for coordination in the binding pocket. RT-PCR showed that adpC expression is upregulated by low environmental adipate concentrations, suggesting adipate is a physiologically relevant substrate but as adpC is not genetically linked to any TTT membrane transport genes, the role of AdpC may be in signalling rather than transport. Our data expands the known ligands for TTT systems and identifies a novel high-affinity binding-protein for adipate, an important industrial chemical intermediate and food additive. This article is protected by copyright. All rights reserved
Estimating Vehicle Turn-In Rate of Expressway Rest Areas via ETC Gantry Data – An ADPC-GMM Approach
No full textVehicle turn-in rate is a critical and widely adopted input for expressway rest area design and operation. With the implementation of expressway ETC gantries, the ERA turn-in rate can be further estimated by measuring the travel speed distribution via ETC gantry data. This paper proposed an adaptive density peak clustering Gaussian mixture model (ADPC-GMM) for ERA turn-in rate estimation. The ADPC algorithm is applied to generate the GMM’s inputs accommodating to the traffic characteristic of ERA expressway segments and GMM would further provide the turn-in rate estimation results. To validate the model precision, the turn-in rate data of four selected ERAs in Sichuan, China, as well as the ETC gantry data of their corresponding expressway sections are obtained. According to the estimation results, the MAE and RMSE are 0.0228 and 0.0267 for the passenger car scenario and 0.0264 and 0.0356 for the commercial truck scenario, respectively. These results are also at the lowest level compared with the results acquired from ordinary GMM, K-Means and DBSCAN algorithms. The proposed method has good applicability for vehicle turn-in rate estimation and can be deployed at different ERAs, especially those ERAs without traffic monitoring
Guidelines for integrating weather related disasters risk reduction and adaptation in Asia and the Pacific regions for senior government officials (Volume Two: Operation)
No full textVariable Noninnocence of Substituted Azobis(phenylcyanamido)diruthenium Complexes
No full textThe synthetic chemistry of substituted
4,4′-azobis(phenylcyanamide) ligands was investigated, and
the complexes [{Ru(tpy)(bpy)}<sub>2</sub>(μ-L)][PF<sub>6</sub>]<sub>2</sub>, where L = 2,2′:5,5′-tetramethyl-4,4′-azobis(phenylcyanamido)
(Me<sub>4</sub>adpc<sup>2–</sup>), 2,2′-dimethyl-4,4′-azobis(phenylcyanamido)
(Me<sub>2</sub>adpc<sup>2–</sup>), unsubstituted (adpc<sup>2–</sup>), 3,3′-dichloro-4,4′-azobis(phenylcyanamido)
(Cl<sub>2</sub>adpc<sup>2–</sup>), and 2,2′:5,5′-tetrachloro-4,4′-azobis(phenylcyanamido)
(Cl<sub>4</sub>adpc<sup>2–</sup>), were prepared and characterized
by cyclic voltammetry and vis–near-IR (NIR) and IR spectroelectrochemistry.
The room temperature electron paramagnetic resonance spectrum of [{Ru(tpy)(bpy)}<sub>2</sub>(μ-Me<sub>4</sub>adpc)]<sup>3+</sup> showed an organic
radical signal and is consistent with an oxidation-state description
[Ru<sup>II</sup>, Me<sub>4</sub>adpc<sup>•–</sup>, Ru<sup>II</sup>]<sup>3+</sup>, while that of [{Ru(tpy)(bpy)}<sub>2</sub>(μ-Cl<sub>2</sub>adpc)]<sup>3+</sup> at 10 K showed a low-symmetry
Ru<sup>III</sup> signal, which is consistent with the description
[Ru<sup>III</sup>, Cl<sub>2</sub>adpc<sup>2–</sup>, Ru<sup>II</sup>]<sup>3+</sup>. IR spectroelectrochemistry data suggest that
[{Ru(tpy)(bpy)}<sub>2</sub>(μ-adpc)]<sup>3+</sup> is delocalized
and [{Ru(tpy)(bpy)}<sub>2</sub>(μ-Cl<sub>2</sub>adpc)]<sup>3+</sup> and [{Ru(tpy)(bpy)}<sub>2</sub>(μ-Cl<sub>4</sub>adpc)]<sup>3+</sup> are valence-trapped mixed-valence systems. A NIR absorption
band that is unique to all [{Ru(tpy)(bpy)}<sub>2</sub>(μ-L)]<sup>3+</sup> complexes is observed; however, its energy and intensity
vary depending on the nature of the bridging ligand and, hence, the
complexes’ oxidation-state description
Community-based disaster risk management : critical guidelines
No full textPublished by the Asian Disaster Preparedness Center through
its Partnerships for Disaster Reduction - Southeast Asia Phase 3
(PDRSEA3) Project jointly implemented by ADPC and UNESCAP with funding support from DIPECHOThe Community-Based Disaster Risk Management: Critical Guidelines document is divided into two main parts:
General Guidance:
- Background information, source materials, and principles of performance and outcome indicators.
- Key definitions and elements of risk reduction.
- Concept of a resilient community.
Guidelines for Good Practice in CBDRM:
- Process Indicators: Six steps in implementing CBDRM programs, including aims, steps, key outcome indicators, and guidance notes.
- Outcome Indicators: Institutional arrangements and product outputs necessary for sustaining community initiatives for disaster risk reduction.
These guidelines aim to build resilient communities through participation and local capacity development.Funding support from DIPECHOcontents
> one.
GENERAL GUIDANCE
Preface
Contents
Introduction
14
15
15
16
16
17
BACKGROUND
Purpose and Scope
Key Activities
SOURCE MATERIALS
Purpose and Scope
PRINCIPLES OF PERFORMANCE AND OUTCOME
INDICATORS
Proposed Principles, Based on the Four Levels
Level 1: Ethical Principles
Level 2: Strategic Principles
Level 3: Tactical Principles
Level 4: Implementation Principles
18 KEY DEFINITIONS
20 ELEMENTS OF RISK REDUCTION
20 Structural and Non-structural Measures
22 A RESILIENT COMMUNITY
Aim of Resilience
The Nature of Resilient Communities
Indicators of a Resilient Community
two.
GUIDELINES FOR GOOD PRACTICE IN COMMUNITY-BASED DISASTER
RISK MANAGEMENT
28 PROCESS INDICATORS
28 Process 1. Undertake Groundwork for CBDRM
30 Process 2. Select Communities for CBDRM Through Risk
Assessment
36 Process 3. Build Rapport and Understand the Community
38 Process 4. Participatory Disaster Risk Management
Planning
47 Process 5. Community- managed Implementation of Risk
Reduction Measures
44 Process 6. Participatory Monitoring and Evaluation
46 OUTCOME INDICATORS
46 Outcome 1. Community-based Organization (CBO)
48 Outcome 2. Community Disaster Risk Reduction Fund
50 Outcome 3. Community Hazard, Vulnerability, Capacity Map
(HVCM)
57 Outcome 4. Community Disaster Risk Management Plan
52 Outcome 5. CBO Training System
53 Outcome 6. Community Drills System
54 Outcome 7. Community Learning System
56 Outcome 8. Community Early Warning System
58 REFERENCES
APPENDIX
1. Terminology Proposed by UNISDR
2. List of Participants Attended in the ADPC Regional Workshop
on Standards of CBDR
- …
