scholarly journals Exploring the use of virtual laboratory simulations before, during, and post COVID ‐19 recovery phase: An Animal Biotechnology case study

2021 ◽  
Author(s):  
Wei Hsum Yap ◽  
Ming Li Teoh ◽  
Yin Quan Tang ◽  
Bey‐Hing Goh
Keyword(s):  
Recovery Phase ◽  
Virtual Laboratory ◽  
Animal Biotechnology ◽  
Laboratory Simulations

scholarly journals The Impacts of Biotechnology on Biodiversity in Global Health: A Case Study on Avian Influenza in Bangladesh

2015 ◽  
Vol 4 (2) ◽  
pp. 102
Author(s):  
Muhiuddin Haider ◽  
Milind Patel ◽  
Priyanka Bhattacharjee ◽  
Maariya Bassa
Keyword(s):  
Biological Control ◽  
Avian Influenza ◽  
Artificial Insemination ◽  
Specific Region ◽  
Food Sources ◽  
Ecosystem Change ◽  
Animal Biotechnology ◽  
Living Organisms

Biodiversity is the variability of between genetics, species, or ecosystems of living organisms within a specific region. Biodiversity is essential for sustaining healthy living networks and systems because it allows for a variety of food sources, medicine, and biological control, while also playing a significant role in atmospheric regulation, nutrient cycling, and pollination. Loss of biodiversity and ecosystem change increases the risk of the emergence or spreading of infectious diseases and global pandemics such as the Avian Influenza (AI H5N1). Biotechnology is one solution for reducing, and ultimately eliminating, the transmission of avian influenza. Traditional methods of treating infected animals, such as common vaccines, are temporary solutions that have no effect on the biodiversity of an ecosystem. Methods in animal biotechnology such as artificial insemination, embryo transfer, and <em>in vitro </em>fertilization have led to developments of cheaper, safer, and more effective vaccines. Livestock that have been treated for H5N1, as well as those that are healthy and have never been infected have proven to increase the diversity, leading to the elimination of specific issues. Similar effects are attainable if these animal biotechnology methods were to be used on poultry infected with the avian influenza virus.

Early stage of a storm recovery phase: A case study

1997 ◽  
Vol 20 (3) ◽  
pp. 481-486
Author(s):  
M Echim ◽  
M Förster ◽  
Yu.I Galperin ◽  
A Blagau ◽  
M Ciobanu ◽  
...  
Keyword(s):  
Early Stage ◽  
Recovery Phase

Risk-Averse Optimization for Resilience Enhancement Under Uncertainty

2020 ◽  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang
Keyword(s):  
Large Scale ◽  
Risk Measure ◽  
Recovery Process ◽  
Recovery Phase ◽  
Mixed Integer ◽  
Network Systems ◽  
Additional Risk ◽  
Deterministic Equivalent ◽  
Study Results

Abstract With the growth of complexity and extent, large scale interconnected network systems, e.g., transportation networks or infrastructure networks, become more vulnerable towards external disturbances. Hence, managing potential disruptive events during design, operating, and recovery phase of an engineered system therefore improving the system’s resilience is an important yet challenging task. In order to ensure system resilience after the occurrence of failure events, this study proposes a mixed integer linear programming (MILP) based restoration framework using heterogenous dispatchable agents. Scenario based stochastic optimization (SO) technique is adopted to deal with the inherent uncertainties imposed on the recovery process from the nature. Moreover, different from conventional SO using deterministic equivalent formulations, additional risk measure is implemented for this study because of the temporal sparsity of the decision making in applications such as the recovery from extreme events. The resulting restoration framework involves with a large-scale MILP problem and thus an adequate decompaction technique, i.e., modified Langragian Relaxation, is also proposed in order to achieve tractable time complexity. Case study results based on the IEEE 37-buses test feeder demonstrate the benefits of using the proposed framework for resilience improvement as well as the advantages of adopting SO formulations.

The Humanitarian Supply Chain Assessment Tool (HumSCAT)

2019 ◽  
Vol 9 (2) ◽  
pp. 221-249
Author(s):  
Ruth Banomyong ◽  
Puthipong Julagasigorn ◽  
Paitoon Varadejsatitwong ◽  
Pairach Piboonrungroj
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Assessment Tool ◽  
Recovery Phase ◽  
Future Research ◽  
Content Type ◽  
Humanitarian Supply Chains ◽  
Preparation Phase ◽  
Humanitarian Supply Chain

Purpose An understanding of the “AS-IS” stage of a relief operation is the basis for further action in humanitarian supply chain management. The purpose of this paper is to develop a toolbox called the Humanitarian Supply Chain Assessment Tool (HumSCAT). This toolbox is comprised of a set of basic tools which can be classified into each phase of disaster relief. Design/methodology/approach The HumSCAT is proposed by paralleling frequently used tools in commercial supply chains with the objectives and characteristics of relief phases. A case study was used to validate the HumSCAT along with six tools provided in the preparation phase. Findings The HumSCAT consists of seven tools in the preparation phase, nine tools in the response phase and ten tools in the recovery phase. The case study illustrates how to use the HumSCAT and the six tools. The latter were found to be useful for improving the relief chain. Research limitations/implications The list of tools is not exclusive. Other tools might be applicable as long as they meet the objectives and characteristics of the phase. A tool should be adjusted accordingly to the contexts. Tools in other phases should be validated in future research. Practical implications The HumSCAT may serve as a reference toolbox for practitioners. Its output can be used for further designing of the “TO-BE” status of humanitarian relief chains. Originality/value The HumSCAT is proposed as a toolbox for academics and practitioners involved in humanitarian supply chains.

Factors affecting successful transition between post-disaster recovery phases: a case study of 2010 floods in Sindh, Pakistan

2020 ◽  
Vol 11 (5) ◽  
pp. 597-614 ◽  
Author(s):  
Rizwan Akbar Ali ◽  
Sandeeka Mannakkara ◽  
Suzanne Wilkinson
Keyword(s):  
Disaster Recovery ◽  
Primary Source ◽  
Recovery Phase ◽  
Structured Interviews ◽  
Content Type ◽  
Successful Transition ◽  
Study Approach ◽  
Post Disaster

Purpose This paper aims to describe an in-depth study conducted on transition of recovery into subsequent recovery phases after the 2010 super floods in the Sindh province of Pakistan. The objectives of this research were to examine the post-disaster activities after the floods and highlight the critical areas hindering the transition into an effective recovery phase. Design/methodology/approach A case study approach based on literature reviews with semi-structured interviews with disaster management stakeholders were applied as the primary source of data. Findings The study found that long-term recovery was the most neglected phase of post-disaster recovery (PDR). The factors hindering successful transition following short-term recovery activities are lack of following: community-level involvement, local administration and community capacity, disaster governance, different stakeholders and coordination, information and knowledge management. Research limitations/implications This paper examines the long-term disaster recovery after the 2010 super floods in three districts of Sindh. Therefore, researchers are encouraged to investigate the factors in other areas for different types of disasters. Practical implications These findings are critical to planning future post-disaster recoveries in the region. It also provides a basis to investigate other types of disasters. Originality/value The transition of recovery into long-term phase has never been investigated before. The recovery phase is an opportune time to incorporate strategies for building back better, resilience, mitigation and preparedness. A PDR that does not incorporate these strategies in the long-term leaves affected communities in more vulnerable conditions for future disasters.

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