Recovery Efforts Research Articles

Mode selection of post-earthquake recovery and reconstruction of traditional villages using dependency analytic process: taking Xiluo-Buzi village in the 2022 M6.8 Luding earthquake as an example.

Traditional villages are precious historical and cultural heritage sites. The selection of post-earthquake recovery and reconstruction (PERR) mode directly affects the village cultural heritage protection and the development direction of post-disaster reconstruction. A scientific and comprehensive feasibility evaluation for selecting the PERR mode of traditional villages can provide sufficient evidence for the recovery efforts in earthquake-stricken villages. The author summarizes three PERR modes and constructs an evaluation index system for the selection of PERR modes of traditional villages. Based on the interrelationship of the indicators, the author has preliminarily established the Dependency Analytic Process (DAP), Based on this method, a model of traditional village PERR mode selection is constructed, and an empirical analysis is carried out in the case of the earthquake-stricken area of Xieluo-buzi Village in 2022 M6.8 Luding earthquake, to discuss the selection of PERR modes of traditional villages. The authors have explored the application of the DAP in the selection of PERR modes for traditional villages and verified the effectiveness of the method. Since a large amount of actual research work is required to conduct an assessment, it is believed that with the widespread applications of the DAP, its superiority and practicality will be further demonstrated. The protection of traditional villages is a dynamic protection process, in which the will of the indigenous people is respected, the social network of the indigenous people is maintained, and the fair rights of the indigenous people to participate in the implementation of the project and to enjoy the preferential policies and resource benefits are guaranteed, as they are the real main body of the heritage protection, so that the traditional village ethnic heritage can be inherited and developed permanently in the protection. DAP is applicable to the comprehensive evaluation of multiple factors, particularly in situations where the importance of the indicators is difficult to be distinguished from each other. This is a new method to determine the weight vector, which has a broad application prospect.

G-20 SUMMIT 2022 LESSON LEARNED: THE DEFENSE DIPLOMACY LENSES

As the president of G-20 in 2022, Indonesia held the Summit of 19 countries plus one region, representing 80% of the world's GDP, 75% of global exports, and 60% of the global population. Indonesia's interests in G-20 Bali were on strategic and direct appeal. The strategic benefits were (a) taking G 20 as a strategic forum to discuss global issues: global health, financial stability, and climate change, (b) showcasing Indonesia's economic recovery efforts during the Covid-19 pandemic, and (c) showcasing Indonesia's role as a meeting leader that will support the formation of global policies. The immediate benefits were (a) an increase in foreign exchange from delegation visits to Indonesia, (b) a revival of the hospitality sector, (c) support for the increase in domestic consumption, (d) optimising the role of MSMEs, and (e) increase employment absorption. Using the defence diplomacy lens instrument, the research found that the Summit has reached a profound performance, as the total commission is reaching 3,89 from 4.00. The economic interest of the nation has been delivered at the score of 3.66, which means the level of defence diplomacy has almost reached the 4th level –the regulator—which puts Indonesia as a very high-impact country. The political interest was delivered at the score of 2.00, which means the performance level was facilitator, the ow impact country. The general interest was shown at a 3.00 score, which means the negotiator, which means that Indonesia might have been a high-impact country.

Toward the creation of disaster-resilient communities: The Machizukuri initiative – The 2011 Tōhoku Great East Japan Earthquake and Tsunami

Community engagement and involvement are essential components in managing and responding to disasters. The March 2011 natural disaster on Japan’s northwest coast was extensive. Despite the country’s well-positioned response framework, relief organisations needed to relocate and faced ongoing infrastructure disruption and significant concerns for rescue and recovery operations. This article aimed to understand better the role and impact of local communities in responding to and recovering from disasters by examining the role of the Machizukuri following the Tōhoku Great East Japan Earthquake and Tsunami (GEJET). We used an exploratory approach, and in-depth interviews were undertaken with eight key decision-makers involved in recovery efforts. Key findings from these interviews showed that, while the central government enacted their disaster management plans, responses were slow and failed to address local priorities. To compensate, the local community and Machizukuri assisted and successfully united the local community to address gaps left by the centralised governments' approach. It is an example of self-reliance and the use of an effective bottom-up approach to address critical disasters. However, efforts were hindered by a lack of coordination between the various government bodies and aid organisations and communication failures that prevented a more coherent response. Furthermore, the forms of creative, bottom-up recovery and response resulted in long-term rebuilding practices that has been a key factor in maintaining the vitality and culture of the affected community. These findings should assist societies in remediating these shortcomings, responding more effectively to future disasters, and enhancing community resilience necessary for long-term recovery.

Development Of Halal Value Chain As A Manifestation For Economy Recovery In Post Covid-19

The Covid-19 phenomenon that significantly affects the economic sector has forced all countries in the world to rise up and make recovery efforts. One of the efforts that is currently attracting attention is strengthening the halal industrial sector, which during the Covid-19 pandemic has been recognized for its success in maintaining economic stability. Halal Value Chain is a strategy used by the halal industry in an effort to recover the economy, the significance of the application of halal value chain in economic activities can give birth to a business model that can be an example for the halal industry and become a competitive advantage. This study aims to provide a comprehensive presentation on the dynamics of halal industry acceleration and halal value chain principles in the recovery of the economic sector after the Covid-19 pandemic. This research uses qualitative methods using a literature review approach from several studies. Based on research that has been carried out, it was found that the solutions offered by the halal industry through the halal value chain have proven to be one of the success factors in economic recovery after the Covid-19 pandemic, halal value chain is not just a concept that has been universally applied but is a need for the world community, because the application of the halal value chain ecosystem in the industrial sector is not only profit-oriented, however, the use of halal products and services aims to provide comfort, safety and certainty for the community.
 Keyword: Halal Value Chain, Halal Industry, Economy Recovery.

Species-wide genomics of kākāpō provides tools to accelerate recovery.

The kākāpō is a critically endangered, intensively managed, long-lived nocturnal parrot endemic to Aotearoa New Zealand. We generated and analysed whole-genome sequence data for nearly all individuals living in early 2018 (169 individuals) to generate a high-quality species-wide genetic variant callset. We leverage extensive long-term metadata to quantify genome-wide diversity of the species over time and present new approaches using probabilistic programming, combined with a phenotype dataset spanning five decades, to disentangle phenotypic variance into environmental and genetic effects while quantifying uncertainty in small populations. We find associations for growth, disease susceptibility, clutch size and egg fertility within genic regions previously shown to influence these traits in other species. Finally, we generate breeding values to predict phenotype and illustrate that active management over the past 45 years has maintained both genome-wide diversity and diversity in breeding values and, hence, evolutionary potential. We provide new pathways for informing future conservation management decisions for kākāpō, including prioritizing individuals for translocation and monitoring individuals with poor growth or high disease risk. Overall, by explicitly addressing the challenge of the small sample size, we provide a template for the inclusion of genomic data that will be transformational for species recovery efforts around the globe.

Assessment of carbon neutrality in waste water treatment systems through deep learning algorithm

Abstract Around the world, it is growing harder to provide clean and safe drinking water. In wastewater treatment, sensors are employed, and the Internet of Things (IoT) is used to transmit data. Chemical oxygen demand (COD), biochemical demand (BOD), total nitrogen (T-N), total suspended solids (TSS), and phosphorous (T-P) components all contribute to eutrophication, which must be avoided. The wastewater sector has lately made efforts to become carbon neutral; however, the environmental impact and the road to carbon neutrality have received very little attention. The challenges are caused by poor prediction. This research proposes deep learning modified neural networks (DLMNN) with Binary Spotted Hyena Optimizer (BSHO) for modeling and calculations to address this challenge. All efforts for resource recovery, water reuse, and energy recovery partially attain this objective. In contrast to previous modeling techniques, the DLMNN-training BSHOs and validation demonstrated outstanding accuracy shown by the model's high coefficient (R2) for both training and testing. Also covered are recent developments and problems with nanomaterials made from sustainable carbon and graphene quantum dots, as well as their uses in the treatment and purification of wastewater. The proposed model DLMNN-BSHO achieved 95.936% precision, 95.326% recall, 93.747% F-score, and 99.637% accuracy.

Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States

Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic. To examine differences in COVID-19 pandemic-related experiences in a large sociodemographically diverse sample of children and caregivers. The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022. Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population <50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date. Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master's degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers. Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning.

Evaluation of Stochastic Gradient Descent Optimizer on U-Net Architecture for Brain Tumor Segmentation

A brain tumor is a type of disease that is quite dangerous in the world. This disease is one of the main causes of human death and has a high risk of recurrence. There are several types of brain tumor locations such as edema, necrosis to elevation. Segmenting the location of this disease is important to do to support faster recovery efforts. The Convolutional Neural Network (CNN) algorithm, which is part of the deep learning method, can be an alternative to this segmentation effort. The U-Net architecture is part of the CNN algorithm which specifically works on medical image segmentation. This study experimented to build a special U-Net architecture for medical image segmentation that had been optimized with SGD. The data used is BraTS2020O which contains a collection of MRI data. This optimization aims to improve the performance of the U-net architecture for segmenting brain tumor images. The results of the study show that the SGD optimization carried out has succeeded in providing better performance than previous studies. This can be seen from the performance value obtained at 0.9879. This accuracy value indicates an increase in accuracy from previous studies. High accuracy indicates that the SGD-optimized model has good segmentation prediction performance.

Predictors of Stigma toward Alcohol Misuse in Mexico

Objective: This study explored factors associated with public stigma toward individuals misusing alcohol in Mexico. Methods: A randomized experimental vignette methodology was used to assess multiple domains of substance use-related stigma and their relationship to the gender of the vignette subject and the sociodemographic characteristics of respondents. Results: Although levels of stigma toward women who were misusing alcohol did not differ significantly from stigma toward men misusing alcohol, stigma levels and type of stigma reported varied with the sociodemographic characteristics of respondents. Education level, gender, self-stigma and openness to seeking mental health services were differentially associated with the three stigma domains. Conclusions: Accordingly, targeted community based stigma reduction efforts are needed to decrease stigma toward those misusing alcohol, and to support treatment initiation, ongoing treatment engagement and long term recovery efforts. Suggestions for future research on the relationship between substance use and stigma are offered.

Evaluating the representation of disaster hazards in SNOMED CT: gaps and opportunities.

Climate change, an underlying risk driver of natural disasters, threatens the environmental sustainability, planetary health, and sustainable development goals. Incorporating disaster-related health impacts into electronic health records helps to comprehend their impact on populations, clinicians, and healthcare systems. This study aims to: (1) map the United Nations Office for Disaster Risk Reduction and International Science Council (UNDRR-ISC) Hazard Information Profiles to SNOMED CT International, a clinical terminology used by clinicians, to manage patients and provide healthcare services; and (2) to determine the extent of clinical terminologies available to capture disaster-related events. Concepts related to disasters were extracted from the UNDRR-ISC's Hazard Information Profiles and mapped to a health terminology using a procedural framework for standardized clinical terminology mapping. The mapping process involved evaluating candidate matches and creating a final list of matches to determine concept coverage. A total of 226 disaster hazard concepts were identified to adversely impact human health. Chemical and biological disaster hazard concepts had better representation than meteorological, hydrological, extraterrestrial, geohazards, environmental, technical, and societal hazard concepts in SNOMED CT. Heatwave, drought, and geographically unique disaster hazards were not found in SNOMED CT. To enhance clinical reporting of disaster hazards and climate-sensitive health outcomes, the poorly represented and missing concepts in SNOMED CT must be included. Documenting the impacts of climate change on public health using standardized clinical terminology provides the necessary real time data to capture climate-sensitive outcomes. These data are crucial for building climate-resilient healthcare systems, enhanced public health disaster responses and workflows, tracking individual health outcomes, supporting disaster risk reduction modeling, and aiding in disaster preparedness, response, and recovery efforts.

Geographies of mobility justice: post-disaster tourism, recognition justice, and affect in Tohoku, Japan

This article investigates instances in which mobility justice is highlighted in post-disaster tourism in eastern Tohoku, Japan, a coastal area almost completely destroyed by the March 11, 2011 earthquake and tsunami. After this unprecedented disaster, some of these towns have directed their recovery efforts toward the development of post-disaster tourism as a means to counteract outmigration and loss of jobs. By using the broader frame of mobility justice in tourism and geographies of affect, this article seeks to showcase how affective relations between people and post-disaster places, and between international tourists and locals, can foster a better understanding of the big and small injustices enacted at different scales in the area. In particular, this article focuses on the potential of ‘recognition justice’ to rebalance the scale between top-down policies and local needs. Post-disaster tourism performances utilize the mobility of information through global media, spreading survivors’ narratives, stories, and images. A politics of affect built around landmarks in the post-disaster landscape the tsunami has contributed to the creation of immobile nodes, which become locus of contestations and opportunities to leverage mobility justice and broader recognition justice for the local populations.

Who Pays? Cost-Sharing for Disaster Management in the US and Japan

Whether national and local governments should assume larger financial responsibility for reducing disaster risk remains a controversial issue. Local governments lack resources to cover the full cost of managing mega-disasters and need assistance from higher level governments. However, national governments covering all costs may create moral hazards, discouraging local governments from investing in ex-ante measures. This study identifies national and local governments’ fiscal responsibility determinants for disaster management. Despite the differences between the federal system in the US and the centralized system in Japan, the two countries’ national governments share common practices. Both have continuously developed legislation to expand their financial responsibilities for relief and recovery efforts as disaster consequences have increased. We argue that despite major institutional differences in Japan’s unitary and the US federal government systems, both have expanded the areas covered by national assistance along with the amount over time. These findings bring with them recommendations for governments in an era of increasing extreme weather events due to climate change.

Multipurpose Hall for CBRNe Incidents

"A multipurpose hall designed for CBRN (Chemical, Biological, Radiological, and Nuclear) purposes plays a vital role in enhancing preparedness, response, and recovery capabilities in the face of CBRN incidents. A multipurpose hall for CBRN purposes provides a dedicated and specialized environment to support CBRN preparedness, response, and recovery efforts. It enhances coordination, facilitates training and exercises, ensures proper equipment storage, and fosters collaboration, ultimately strengthening the ability to protect personnel, mitigate risks, and minimize the impact of CBRN incidents. This study is qualitative research based on the content analysis method. To design and build multipurpose halls for CBRN events, this study can be used as a checklist. The purpose of this study is to collect important factors and sub-factors in the design, construction, and equipping of buildings and multi-purpose CBRN structures."

The impact of the COVID-19 pandemic on vaccination uptake in the United States and strategies to recover and improve vaccination rates: A review

ABSTRACT The COVID-19 pandemic disrupted routine healthcare delivery, causing declines in CDC-recommended vaccination rates across the life-course in the United States (US). Ensuring protection against disease outbreaks and associated morbidity and mortality depends on improving vaccine coverage rates (VCRs) and uptake. The authors conducted a targeted literature review to assess the pandemic’s effects on routine vaccination rates across different populations, evaluating VCR recovery and improvement efforts. The review highlights articles published with data measuring or evaluating VCR decline across the US during the COVID-19 pandemic from January 2020 to April 2022, associated health impacts, and policy and programmatic strategies to recover routine VCRs. While vaccination rates stagnated or declined across some populations pre-pandemic, the review indicated there were further VCR declines in 2020 and 2021 compared to 2019 across numerous CDC-recommended vaccines, ages, and geographies, with some vaccines and sub-populations disproportionally impacted. The review additionally identified declines in patient healthcare visit frequency and increases in morbidity and mortality associated with vaccine-preventable disease (VPD) complications. Reviewed publications highlighted multifaceted strategies that could aid in recovering VCRs. Overall, findings demonstrate a significant reduction in VCRs across all age groups and highlight promising solutions to inform vaccine uptake efforts and ensure broader protection against VPDs.

How New Zealand’s civil engineers are responding to recent floods and cyclones

New Zealand’s North Island was hit by multiple significant rainfall events at the start of 2023, resulting in extensive flood damage. Paul Corbett of Jacobs explains how civil engineers from the country’s highway authority are leading the recovery effort.

National Association of Medical Examiners Position Paper: Recommendations for the Documentation and Certification of Disaster-Related Deaths.

Collecting and reporting accurate disaster mortality data are critical to informing disaster response and recovery efforts. The National Association of Medical Examiners convened an ad hoc committee to provide recommendations for the documentation and certification of disaster-related deaths. This article provides definitions for disasters and direct, indirect, and partially attributable disaster-related deaths; discusses jurisdiction for disaster-related deaths; offers recommendations for medical examiners/coroners (ME/Cs) for indicating the involvement of the disaster on the death certificate; discusses the role of the ME/C and non-ME/C in documenting and certifying disaster-related deaths; identifies existing systems for helping to identify the role of disaster on the death certificate; and describes disaster-related deaths that may require amendments of death certificates. The recommendations provided in this article seek to increase ME/C's understanding of disaster-related deaths and promote uniformity in how to document these deaths on the death certificate.

Sharia Tourism Business Recovery Strategies on Lombok Island Indonesia Post Covid-19

Purpose: This study aims to identify and analyze the recovery strategy of the Sharia tourism business on Lombok Island, Indonesia, after the Covid-19 pandemic. Theoretical framework: The recovery of the Sharia tourism business on Lombok Island after COVID-19 requires joint efforts, innovation, and adaptation to changing trends and tourist preferences. With the right strategy, Sharia tourism on Lombok Island can recover and generate a positive economic impact for the area. Design/Methodology/Approach: Through a qualitative descriptive research approach, researchers collected data through observation, analysis of related documents, and interviews with stakeholders related to Sharia tourism on Lombok Island. Findings: The results of this study reveal several essential strategies in the recovery of the Sharia tourism business on Lombok Island, namely increasing online marketing, a collaboration between tourism actors, developing halal tourism, and developing environmentally friendly tourism. Research, practical &amp; social implications: The resulting recommendations can be a reference for tourism industry players, government, and other related parties in developing practical and sustainable recovery efforts. With the implementation of the right strategy, it is expected that Sharia tourism on Lombok Island can recover successfully, provide significant economic benefits, and meet the expectations of Muslim tourists and local communities. Originality/Value: This research contributes to understanding the recovery strategy of the Sharia tourism business on Lombok Island after the Covid-19 pandemic.

Hospitality Trends in a Post-Pandemic World: Adaptation and Recovery

This paper undertakes a comprehensive exploration of the profound shifts and innovative strategies that are shaping the evolution of the hospitality sector in the aftermath of the crisis. Through a meticulous integration of quantitative and qualitative methodologies, this study delves into the intricate interplay of consumer preferences, technological advancements, sustainability imperatives, and operational paradigms that have come to define the industry's response to the new normal. The quantitative phase, encompassing a structured survey administered to a diverse sample of 1000 respondents, unveils a spectrum of evolving consumer behaviors, ranging from a heightened preference for outdoor and nature-centric activities to an increasing demand for eco-conscious accommodations and technology-driven contactless interactions. This is further complemented by the qualitative phase, involving in-depth interviews and focus group discussions with industry stakeholders, which provides nuanced narratives of innovation and resilience strategies adopted by businesses to adapt to the evolving landscape. Together, these insights reveal a mosaic of adaptation and recovery efforts, including the creative repurposing of spaces, local partnerships to foster authentic experiences, and the integration of technology for personalized services. As the hospitality industry charts its course forward, armed with the lessons from this research, it is poised to redefine its trajectory, embracing sustainability, technological integration, and guest-centric approaches as foundational pillars for a resilient and vibrant future. By synthesizing the quantitative and qualitative dimensions, this study offers a comprehensive understanding of the emerging trends and transformational trajectories that are shaping the post-pandemic hospitality realm, providing a roadmap for stakeholders to navigate the challenges and opportunities that lie ahead in this dynamic and reimagined era.

Analysis of Protection and Recovery Efforts Against Victims of Domestic Violence Especially Children and Women

Domestic violence is a distressing criminal offense that can result in severe legal repercussions, including imprisonment, as well as profound and lasting effects on its victims. This pervasive issue often involves one family member inflicting harm on another within the confines of their own home. Discussing domestic violence is no longer a societal taboo, as awareness has grown about the importance of addressing and preventing such cases. The motives behind domestic violence are complex, stemming from issues like relationship disharmony, financial strain, poor communication, and more. These underlying factors can trigger a range of abusive behaviors, leading to physical, emotional, and psychological harm for the victims. These abuses can manifest directly or indirectly, through threats, manipulation, or physical violence. The consequences of domestic violence are not limited to the short term; they can have enduring effects on the victims' lives. Physically, victims can sustain injuries that may require medical attention, while the emotional and psychological scars can linger, affecting self-esteem, mental health, and overall well-being. It is crucial to address this issue through legal means, support, and education to break the cycle of domestic violence and protect its victims.

Dynamics of user-generated content and service failure recovery: evidence from millennials

PurposeThere is considerable interest in the value of user-generated content (UGC) and its antecedents. Despite its growing importance, existing studies have largely ignored the effects of UGC on customers’ responses to recovery efforts in the fashion industry. The aim of this paper is to examine the extent to which UGC influences customers’ responses to providers’ service failure and recovery efforts, particularly how millennials’ interactions impact recovery efforts.Design/methodology/approachThe study uses a phenomenological hermeneutics and adopts theoretical sampling to collect empirical data from three European countries (France, Italy and the UK). The authors interviewed 60 millennials who had online service failure experiences in online fashion. This methodological framework was designed to illustrate the close relationships between subject and object as well as identify that data analysis and collection are undertaken in relation to consistent iterative interpretations in an evolving process of study. Drawing on multi-theoretical lenses, using actor–network and social influence theories, this study advances understanding through the development of a new conceptual model relating to individual characteristics.FindingsUsing actor–network theory and social influence theory, this study developed a conceptual model of four customer groups’ responses to service failure based on the severity of service failure and the level of customers’ online response following service failure.Originality/valueThe authors suggest some pragmatic implications of their conceptual model and explain how awareness of different customer groups can lead to effective decision-making for marketers. This study provides a set of practical insights that brand managers can use to recover service failures.