Healthcare Challenges due to Global Conflict Escalation Amid the Pandemic, Climate, and Economic Dilemmas

Mohiuddin, Abdul Kader

doi:10.20944/preprints202301.0517.v1

Cited by 3 publications

(7 citation statements)

References 171 publications

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“…Bangladesh has imported only 64 ships during the January-June 2022 of the calendar year and which is about 59% lower than that of the same period of last year (2021) and which has been shown in figure 5 below [53,54]. Again, according to data available with NGO Ship-breaking Platform (NSP) during the January-June period of 2022, India has also imported a lower number of 88 EOL ships and that is less from 124 in the January-June 2021 of the same period in previous year [52]. Percentage trend of ship recycle of Bangladesh in between 2013 to 2021 has been shown in figure 6 below [45,52].…”

Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 96%

“…Big players in ship recycling like India, Bangladesh and Pakistan, have their own yards where they perform such activities. In Bangladesh around 200 EOL ships are recycled in local yards at the port city of Chattogram [52]. This has been a hub for recycling old, obsolete ships for many years.…”

Section: Present Status Of Global Ship Recycling Industrymentioning

confidence: 99%

“…As per report of "Review of Maritime Transport 2022" published on 29 Nov 2022 in the period of 2021-2022, Bangladesh recycled 8.02 million tons of EOL ships accounting for 52.4% of the world total, where nearly 57% were oil tankers, 25% bulk carriers and 9% liquefied gas carriers. Again, as per the annual flagship report, in the previous year (2020-2021), around 54% of the world's oil tankers, 18.4% of bulk carriers and 5% of liquefied gas carriers were recycled in Bangladesh [52].…”

Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 99%

“…Again, according to data available with NGO Ship-breaking Platform (NSP) during the January-June period of 2022, India has also imported a lower number of 88 EOL ships and that is less from 124 in the January-June 2021 of the same period in previous year [52]. Percentage trend of ship recycle of Bangladesh in between 2013 to 2021 has been shown in figure 6 below [45,52].…”

Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 99%

“…Moreover, it is estimated that ship recycling industry generates around US$ 1 billion for the national economy. On the other hand, it is estimated that as of today, globally around 20,000 ships over 500 Gross Tonnage are around 25-30 years old and will shortly be sent for recycling [52]. IMO has introduced Hong Kong International Convention for the Safe and Environmentally Sound Recycling of Ships in 2009 [51].…”

Section: Contribution Of Global and Local Ship Recycling In Socio-eco...mentioning

confidence: 99%

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Evaluation of Ship Recycling Industry in View of Present Global Circumstances and Way Forward

Hossain

2024

IJSDR

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Ship recycling, commonly referred to as ship dismantling, is an inherently sustainable practice with global implications. It involves the reverse engineering process of disassembling obsolete ships to recover reusable materials in a safe and environmentally friendly manner. Over the past two decades, ships have predominantly been beached in South Asian countries such as Bangladesh, India, China, and Pakistan, allowing local yards to dismantle vessels with moderate preventive measures and substantial manual labor. Ship recycling stands as a significant and environmentally conscious industry, witnessing the annual recycling of approximately 1000 obsolete ships globally. Currently, this industry is predominantly led by three South Asian countries—India, Bangladesh, and Pakistan. In Bangladesh, the industry commenced with the dismantling of stranded ships, evolving into a large and profitable sector that generates substantial employment opportunities for thousands of semi-skilled workers in poverty-prone areas. While the ship recycling industry presents opportunities, it also poses challenges for coastal zone management, encompassing environmental, law enforcement, and worker safety concerns. The surge in demand for ship recycling has prompted increased regulatory scrutiny at both national and international levels. This pressure culminated in the development of the Hong Kong International Convention (HKC) by the IMO in 2009, mandating safety and environmental protection standards at recycling yards. Achieving a perfectly green ship recycling process in line with European standards is inherently costly. However, a viable and almost green ship recycling approach, integrating the current common practice of beaching methods in Asian countries, is entirely feasible. Despite limitations and challenges, the industry significantly contributes to Bangladesh's GDP and the overall socio-economic landscape. Currently, there has been a visible reduction in Bangladesh's market share due to stringent environmental regulations, while competitors have experienced increases. This study represents an analytical effort to evaluate the current global ship recycling scenario, exploring its potential, challenges, and the future trajectory of both local and global ship recycling industries.

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Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 96%

Section: Present Status Of Global Ship Recycling Industrymentioning

confidence: 99%

Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 99%

Section: Recent Trend Of Bangladesh Ship Recycling In Contest Of Globalmentioning

confidence: 99%

Section: Contribution Of Global and Local Ship Recycling In Socio-eco...mentioning

confidence: 99%

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Evaluation of Ship Recycling Industry in View of Present Global Circumstances and Way Forward

Hossain

2024

IJSDR

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Understanding the impact of natural disasters on children within first hours and days after an event: A phenomenological study through the experience of nurses

Dağ,

Zengin,

Yayan

et al. 2024

International Nursing Review

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BackgroundChildren are a particularly vulnerable group in natural disasters such as earthquakes, and although they represent a difficult group to research in such situations, there appears to be a lack of literature investigating children's experiences in the immediate post‐earthquake period. Experienced nurses can shed light on children's experiences.AimThis study was conducted to examine the experiences of nurses caring for children affected by the earthquake in Kahramanmaraş, Turkey.MethodsThis phenomenological study was conducted with nurses who provided care to children during the Kahramanmaraş earthquake between May and August 2023. The study sample consisted of 14 nurses selected using a purposive sampling technique. Data were collected through in‐depth interviews by using the “Introductory Information Form” and “Semi‐structured Interview Form” developed by the researchers. The interviews were subsequently analyzed using Colaizzi's method.ResultsThe results revealed five themes under two main themes. Under the main theme of nurse, there are subthemes of chaos, helplessness‐incompetence, while under the main theme of child, there are subthemes of unresponsiveness, intertwined needs, empathy, and care. The study also highlights the chaotic environment in the immediate aftermath of the earthquake, characterized by a high number of pediatric casualties and psychological trauma, and the nurses' feelings of helplessness as a result of being separated from their families.ConclusionThis study found that nurses caring for children in the earthquake had difficulties in managing children's hospital processes and they demonstrated an empathic approach by trying to communicate with the children in their care. The nurses stated that children should be supported psychologically as well as having their basic needs such as water, food, and shelter met.Implications for nursing and health policyHealth policymakers should be aware that in the early stages of major disasters such as earthquakes, children are not only physically injured but also have basic needs such as water, shelter, and food, and are emotionally affected. It is recommended that disaster management plans be developed to address all children's needs and nurses be provided with psychological support and training to improve their knowledge and skills.

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SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction

Zhu,

Che,

Jiang

et al. 2024

BMC Bioinformatics

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Background Drug–drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential DDI. While various artificial intelligence methods can predict and identify potential DDI, they often overlook the sequence information of drug molecules and fail to comprehensively consider the contribution of molecular substructures to DDI. Results In this paper, we proposed a novel model for DDI prediction based on sequence and substructure features (SSF-DDI) to address these issues. Our model integrates drug sequence features and structural features from the drug molecule graph, providing enhanced information for DDI prediction and enabling a more comprehensive and accurate representation of drug molecules. Conclusion The results of experiments and case studies have demonstrated that SSF-DDI significantly outperforms state-of-the-art DDI prediction models across multiple real datasets and settings. SSF-DDI performs better in predicting DDI involving unknown drugs, resulting in a 5.67% improvement in accuracy compared to state-of-the-art methods.

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Healthcare Challenges due to Global Conflict Escalation Amid the Pandemic, Climate, and Economic Dilemmas

Cited by 3 publications

References 171 publications

Evaluation of Ship Recycling Industry in View of Present Global Circumstances and Way Forward

Evaluation of Ship Recycling Industry in View of Present Global Circumstances and Way Forward

Understanding the impact of natural disasters on children within first hours and days after an event: A phenomenological study through the experience of nurses

SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction

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