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A FEASIBILITY STUDY ON UNDERGROUND INFRASTRUCTURE IMPLEMENTATION TO ENHANCE DHAKA’S ELECTRICAL GRID RELIABILITY 关于实施地下基础设施以提高达卡电网可靠性的可行性研究
Pub Date : 2024-08-10 DOI: 10.62304/ijse.v1i04.190
This study systematically reviews the feasibility of implementing underground power infrastructure to enhance the reliability of Dhaka's electrical grid. Given the city's frequent power outages due to adverse weather and aging overhead power lines, this review synthesizes findings from peer-reviewed journal articles, technical reports, conference papers, and case studies published between 2010 and 2023. The review highlights the significant benefits of underground systems, including improved grid reliability and resilience, reduced outages, and enhanced urban aesthetics and safety. However, it also identifies substantial economic and technical challenges, such as high initial installation costs and complex maintenance requirements. Recent technological advancements, such as improved cable materials and installation techniques, have made underground power lines more feasible and cost-effective. Case studies from cities like Amsterdam, London, New York, and Toronto provide valuable insights into successful implementation strategies, emphasizing the importance of integrated urban planning and stakeholder collaboration. These findings offer a robust foundation for policymakers, utility companies, and urban planners to consider transitioning Dhaka's power infrastructure to an underground system, aiming to mitigate the impacts of severe weather and enhance overall grid reliability.
本研究系统回顾了实施地下电力基础设施以提高达卡电网可靠性的可行性。鉴于恶劣天气和老化的架空电线导致城市经常停电,本综述综合了 2010 年至 2023 年间发表的同行评审期刊文章、技术报告、会议论文和案例研究的结果。本综述强调了地下系统的显著优势,包括提高电网可靠性和恢复能力、减少停电、增强城市美感和安全性。然而,它也指出了巨大的经济和技术挑战,如高昂的初始安装成本和复杂的维护要求。最近的技术进步,如电缆材料和安装技术的改进,使地下输电线路变得更加可行和具有成本效益。阿姆斯特丹、伦敦、纽约和多伦多等城市的案例研究为成功实施战略提供了宝贵的见解,强调了综合城市规划和利益相关者合作的重要性。这些研究结果为政策制定者、公用事业公司和城市规划者考虑将达卡的电力基础设施过渡到地下系统提供了坚实的基础,旨在减轻恶劣天气的影响并提高整体电网的可靠性。
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引用次数: 0
AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH 以人工智能为动力的供应链运营中知识产权风险管理预测分析:大数据方法
Pub Date : 2024-07-16 DOI: 10.62304/ijse.v1i04.184
Md Abdur Rauf, Md Majadul Islam Jim, Md Mahfuzur Rahman, Md Tariquzzaman
The rapid advancement of technology and the increasing complexity of global supply chains have heightened the need for robust intellectual property (IP) risk management strategies. This study explores the application of artificial intelligence (AI) and big data analytics in enhancing IP risk management within supply chains. A comprehensive literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, identifying 578 records through database searches and an additional 90 records through other sources. After removing duplicates, 568 records were screened, with 196 full-text articles assessed for eligibility. Ultimately, 135 articles were included in the final synthesis. The findings reveal that AI-driven predictive analytics significantly enhance the detection and mitigation of IP risks by analyzing large volumes of data from various sources, such as patent filings, market trends, and social media. Big data analytics tools like Hadoop and Spark facilitate real-time monitoring and early identification of potential IP threats, providing a comprehensive view of the supply chain landscape. Several successful case studies across different industries, including pharmaceuticals, electronics, and fashion, demonstrate the practical applications of these technologies in addressing IP risks. However, the review also highlights several challenges, including data quality, scalability, model interpretability, data privacy, and integration with legacy systems. Despite these challenges, the benefits of AI and big data analytics in IP risk management are substantial, enabling organizations to protect their intellectual assets more effectively. The study underscores the need for future research to address these challenges and explore innovative solutions to maximize the potential of AI and big data analytics in IP risk management. By investing in the necessary infrastructure and expertise, organizations can enhance their resilience and maintain a competitive edge in the global market.
技术的飞速发展和全球供应链的日益复杂,使人们更加需要强有力的知识产权(IP)风险管理策略。本研究探讨了人工智能(AI)和大数据分析在加强供应链知识产权风险管理中的应用。研究采用系统综述和元分析首选报告项目(PRISMA)方法进行了全面的文献综述,通过数据库搜索确定了 578 条记录,并通过其他来源确定了另外 90 条记录。去除重复内容后,共筛选出 568 条记录,并对其中的 196 篇全文进行了资格评估。最终,135 篇文章被纳入最终综述。研究结果表明,人工智能驱动的预测分析通过分析来自专利申请、市场趋势和社交媒体等各种来源的大量数据,大大提高了发现和降低知识产权风险的能力。Hadoop 和 Spark 等大数据分析工具有助于对潜在的知识产权威胁进行实时监控和早期识别,从而提供一个全面的供应链视图。医药、电子和时尚等不同行业的一些成功案例研究,展示了这些技术在应对知识产权风险方面的实际应用。不过,回顾也强调了一些挑战,包括数据质量、可扩展性、模型可解释性、数据隐私以及与传统系统的集成。尽管存在这些挑战,但人工智能和大数据分析在知识产权风险管理方面的优势是巨大的,能使企业更有效地保护其知识资产。这项研究强调,今后需要针对这些挑战开展研究,探索创新解决方案,最大限度地发挥人工智能和大数据分析在知识产权风险管理中的潜力。通过对必要的基础设施和专业知识进行投资,企业可以增强其应变能力,并在全球市场中保持竞争优势。
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引用次数: 0
Housebuilding Finance in the United States: From Budgeting to Funding 美国的建房融资:从预算编制到资金筹措
Pub Date : 2024-07-16 DOI: 10.62304/jbedpm.v3i05.183
Irfanul Kabir, Md. Mokshud Ali
This article precisely identifies housebuilding finance in the United States as a complex procedure of primary concern to those who wish to become homeowners or builders, susceptible to the state of the economy and shifts in policies. Therefore, the purpose of this research will be to provide extensive coverage of the processes involved in budgeting right through to obtaining and directing funds. This study adopts a qualitative research method to ascertain budgeting techniques, sources of finance, means of obtaining loans, financial controls during construction through literature, industry, and documents. Discussions also focus on the governmental initiatives and economic environment stressing the need for money comprehension. Issues such as budgeting down to the last detail, variety of financial sources and methods of financial management are highlighted as important aspects. Some recommendation areas are improvement of budgeting, increasing the financing options’ awareness, and the optimization of the existing times of lending to boost housebuilding finance in the USA.
本文确切地指出,美国的建房融资是一个复杂的过程,是那些希望成为房主或建筑商的人最关心的问题,容易受到经济状况和政策变化的影响。因此,本研究的目的是广泛介绍从预算编制到获取和引导资金的过程。本研究采用定性研究方法,通过文献、行业和文件来确定预算编制技术、资金来源、获得贷款的手段以及施工期间的财务控制。讨论的重点还包括政府举措和经济环境,强调对资金理解的必要性。预算编制细化到最后一个细节、资金来源的多样性和财务管理方法等问题都被强调为重要方面。一些建议领域包括改进预算编制、提高融资选择意识以及优化现有贷款时间,以促进美国的房屋建设融资。
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引用次数: 0
A FRAMEWORK FOR LEAN MANUFACTURING IMPLEMENTATION IN THE TEXTILE INDUSTRY: A RESEARCH STUDY 纺织业实施精益生产的框架:一项研究
Pub Date : 2024-07-15 DOI: 10.62304/ijse.v1i04.181
Shirin Begum, Md Abubakar Siddique Akash, Md Sanjid Khan, Minhazur Rahman Bhuiyan
This study investigates the implementation of lean manufacturing in the textile industry, focusing on its potential to enhance efficiency, reduce waste, and improve product quality. Lean manufacturing principles, including Just-In-Time (JIT) production, Kanban systems, value stream mapping, 5S workplace organization, and continuous improvement (Kaizen), have been widely recognized for their effectiveness in various manufacturing sectors. However, their application in the textile industry remains underexplored. Through a systematic literature review of 60 review papers and empirical analysis involving case studies, interviews, and surveys with industry experts, managers, and workers, this research identifies the significant benefits of lean practices in textile manufacturing. The findings reveal substantial efficiency gains, waste reduction, and quality improvements among companies adopting lean principles. Nevertheless, the study also highlights several industry-specific challenges, such as high variability in raw materials, complex production processes, and market pressures from fast fashion. These challenges necessitate tailored approaches and effective change management strategies for successful lean integration. Additionally, the research emphasizes the need for investment in advanced technologies and flexible manufacturing systems to enhance responsiveness to market changes. The study concludes that despite the challenges, lean manufacturing offers valuable strategies for textile companies aiming to improve their competitiveness and sustainability in the global market. This research contributes to the growing body of knowledge on lean manufacturing and provides practical insights for textile manufacturers seeking to adopt and optimize lean practices.
本研究调查了精益生产在纺织业的实施情况,重点关注其在提高效率、减少浪费和提高产品质量方面的潜力。精益生产原则,包括准时制(JIT)生产、看板系统、价值流图、5S 工作场所组织和持续改进(Kaizen),因其在不同制造领域的有效性而得到广泛认可。然而,它们在纺织业中的应用仍未得到充分探索。本研究通过对 60 篇综述性论文进行系统的文献综述,以及对行业专家、管理人员和工人进行案例研究、访谈和调查等实证分析,确定了精益实践在纺织制造业中的显著优势。研究结果表明,采用精益原则的企业在提高效率、减少浪费和提高质量方面取得了显著成效。然而,研究也强调了几个行业特有的挑战,如原材料的高变异性、复杂的生产流程以及快速时尚带来的市场压力。要成功实现精益整合,就必须针对这些挑战采取量身定制的方法和有效的变革管理策略。此外,研究还强调了对先进技术和柔性制造系统进行投资的必要性,以提高对市场变化的响应能力。研究得出结论,尽管存在挑战,但精益生产为旨在提高全球市场竞争力和可持续发展能力的纺织企业提供了宝贵的战略。这项研究为不断增长的精益生产知识做出了贡献,并为寻求采用和优化精益生产实践的纺织品制造商提供了实用的见解。
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引用次数: 0
A COMPREHENSIVE REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN ENHANCING CYBERSECURITY THREAT DETECTION AND RESPONSE MECHANISMS 全面审查人工智能在加强网络安全威胁检测和响应机制方面的应用
Pub Date : 2024-07-10 DOI: 10.62304/jbedpm.v3i05.180
Mosa Sankaram, Ms Roopesh, Sasank Rasetti, Nourin Nishat
This literature review explores the transformative impact of artificial intelligence (AI) on enhancing cybersecurity measures across various domains. The study systematically examines the integration of AI in Intrusion Detection Systems (IDS), malware detection, phishing detection, threat intelligence, network security, and endpoint protection. Key findings reveal that AI-driven techniques significantly outperform traditional methods, particularly in real-time threat detection, accuracy, and adaptive response capabilities. Network-based IDS benefit from supervised and unsupervised learning algorithms, improving the identification of malicious network traffic and novel attack patterns. In malware detection, AI-enhanced static and dynamic analysis methods surpass signature-based approaches by detecting previously unknown malware and complex behaviors. Phishing detection has seen substantial improvements with AI applications in email filtering and URL analysis, reducing phishing incidents despite challenges like false positives. AI's role in threat intelligence is critical, automating data analysis to uncover hidden threats and employing predictive analytics to anticipate and mitigate cyber attacks. AI techniques in network security and endpoint protection enhance real-time monitoring and authentication processes, providing robust defenses against cyber intrusions. Despite these advancements, challenges such as handling high data volumes and the need for continuous learning to adapt to emerging threats remain. This review underscores the significant advancements, practical implementations, and ongoing challenges of leveraging AI in cybersecurity, highlighting its potential to fortify digital defenses and address the complexities of contemporary cyber threats.
本文献综述探讨了人工智能(AI)对加强各领域网络安全措施的变革性影响。研究系统地探讨了人工智能在入侵检测系统(IDS)、恶意软件检测、网络钓鱼检测、威胁情报、网络安全和端点保护中的整合。主要研究结果表明,人工智能驱动的技术明显优于传统方法,尤其是在实时威胁检测、准确性和自适应响应能力方面。基于网络的 IDS 受益于监督和非监督学习算法,提高了对恶意网络流量和新型攻击模式的识别能力。在恶意软件检测方面,人工智能增强型静态和动态分析方法通过检测以前未知的恶意软件和复杂行为,超越了基于签名的方法。随着人工智能在电子邮件过滤和 URL 分析中的应用,网络钓鱼检测有了实质性的改进,尽管存在误报等挑战,但网络钓鱼事件仍有所减少。人工智能在威胁情报方面的作用至关重要,它可自动进行数据分析以发现隐藏的威胁,并采用预测性分析来预测和缓解网络攻击。网络安全和端点保护领域的人工智能技术可加强实时监控和身份验证流程,为网络入侵提供强大的防御能力。尽管取得了这些进步,但处理大量数据和不断学习以适应新兴威胁的需求等挑战依然存在。本综述强调了人工智能在网络安全领域的重大进展、实际应用和持续挑战,突出了人工智能在强化数字防御和应对当代复杂网络威胁方面的潜力。
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引用次数: 0
Human Migration is widely Viewed as Dramatic Consequence of Climate Change: A Case Study of Amitabh Ghosh’s Gun Island 人类迁徙被广泛视为气候变化的严重后果:阿米塔布-高什的《枪岛》案例研究
Pub Date : 2024-07-07 DOI: 10.62304/alhe.v3i05.179
Alia Rawshan Banu
Migration is not a new phenomenon in human history. Human migration occurs through ages due to socio-economic and political issues. People travel or migrate from one country to another for a better life and livelihood. The immigrants have to undergo a myriad experiences and face manifold issues socially, politically and psychologically. Amitabh Ghosh’s novel Gun Island deals with the contemporary environmental issues, border crossings, and human migration along with the story of investigation of folk myths of Bonduki Sadagar (Gun Merchant). Ghosh also focuses on large scale human migration in search of livelihood. This paper highlights the drawbacks or the negative impacts of wrong usage of technology through which people get enticed with the fascination of foreign countries in the contemporary world of globalisation. Amitabh Ghosh in his novel attempts to focus on the experience of immigrants and human values of migrants due to environmental and technological development.
在人类历史上,移民并不是一种新现象。由于社会经济和政治问题,人类迁徙在各个时代都有发生。人们为了更好的生活和生计从一个国家旅行或移民到另一个国家。移民必须经历无数的经历,面临社会、政治和心理方面的多重问题。阿米塔布-戈什的小说《枪岛》讲述了当代环境问题、边境口岸和人口迁移,以及对 Bonduki Sadagar(枪商)民间神话的调查故事。戈什还关注了为寻求生计而进行的大规模人口迁移。本文强调了错误使用技术的弊端或负面影响,在全球化的当代世界,人们被外国的魅力所吸引。阿米塔布-高什在他的小说中试图关注环境和技术发展所带来的移民经历和移民的人文价值。
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引用次数: 0
INTEGRATING BUSINESS INFORMATION SYSTEMS IN PUBLIC HEALTH NUTRITION PROGRAMS: CHALLENGES AND OPPORTUNITIES 在公共卫生营养计划中整合业务信息系统:挑战与机遇
Pub Date : 2024-07-06 DOI: 10.62304/ijmisds.v1i04.178
Mahmuda Afroz Siddika, Devayan Chakraborty, Mohammad Sayed Noor, Md. Nazmul Haque
The integration of Business Information Systems (BIS) into public health nutrition programs offers significant potential to enhance efficiency, data management, and decision-making processes. This study explores the multifaceted challenges and opportunities associated with BIS integration, employing a qualitative approach to gather in-depth insights from key stakeholders, including program managers, policymakers, healthcare professionals, IT specialists, and beneficiaries. Technical challenges, such as system interoperability and data privacy concerns, emerged as major barriers, necessitating the development of standardized protocols and robust security measures. Organizational resistance to change and the need for extensive training and capacity-building were also identified as significant obstacles. Socio-cultural challenges, including variability in technological literacy and trust in digital systems, further complicate the integration process. Despite these challenges, the study highlights substantial benefits of BIS integration, including improved data management and analytics, enhanced program efficiency, and better resource allocation. These advantages facilitate more informed decision-making, timely interventions, and optimized resource use, ultimately improving the effectiveness of public health nutrition programs. The findings provide valuable insights for policymakers, healthcare professionals, and IT specialists, offering guidance for enhancing BIS adoption and utilization to achieve better health outcomes. Future research should continue to explore these challenges and opportunities in diverse settings to build a comprehensive body of knowledge on BIS integration in public health contexts.
将商业信息系统(BIS)整合到公共卫生营养项目中,为提高效率、加强数据管理和决策过程提供了巨大的潜力。本研究探讨了与 BIS 整合相关的多方面挑战和机遇,采用定性方法从主要利益相关者(包括项目管理人员、政策制定者、医疗保健专业人员、IT 专家和受益者)那里收集了深入的见解。技术方面的挑战,如系统互操作性和数据隐私问题,成为主要障碍,因此有必要制定标准化协议和强有力的安全措施。组织对变革的抵制以及需要广泛的培训和能力建设也被认为是重大障碍。社会文化方面的挑战,包括技术素养的差异和对数字系统的信任,使整合过程更加复杂。尽管存在这些挑战,但研究强调了 BIS 整合带来的巨大益处,包括改进数据管理和分析、提高计划效率和改善资源分配。这些优势有助于做出更明智的决策、及时采取干预措施和优化资源利用,最终提高公共卫生营养计划的有效性。研究结果为政策制定者、医疗保健专业人员和 IT 专家提供了宝贵的见解,为加强 BIS 的采用和利用以实现更好的健康结果提供了指导。未来的研究应继续探索不同环境中的这些挑战和机遇,以建立一个有关在公共卫生环境中整合 BIS 的全面知识体系。
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引用次数: 0
HUMAN RIGHT TO NATIONALITY OF THE ROHINGYA REFUGEES AND THE BANGALEES IN BANGLADESH 孟加拉国罗辛亚难民和班加莱人享有国籍的人权
Pub Date : 2024-07-04 DOI: 10.62304/jldpss.v3i03.176
Sarfaraaj Mandal
The study contains the human rights condition of the Rohingya refugees in Bangladesh in general as well as their human right to nationality in the country in particular. It also contains, on a comparative approach, the human right to nationality of the Bangalees in Bangladesh. Data are collected from both primary and secondary sources and they are analysed systematically for reaching a solution to the problem of nationality of both the peoples, Rohingya and Bangalee. The study wants to create public opinion for the redress of the Rohingya refugees who were compelled to flee to Bangladesh from Myanmar by the government as well as the military of Myanmar.It shows that the right to nationality of the ethnic/cultural and linguistic majority ‘Bangalee’ people of Bangladesh was kept aloof from them for more than three decades. The study explores the governmental and foreign aids to help them sustain, transfer of many of them from Cox’s Bazar to BhasanChar of Noakhali district, and geopolitical issues surrounding the Rohingyas in Myanmar and Bangladesh. It unveils the legal issue relating to nationality and citizenship of the Bangalees as well as the Rohingya refugees in Bangladesh, which is seldom addressed by lawyers and general readers. It shows the distinction between nationality and citizenship and makes some suggestions to overcome the problem of nationality and citizenship identities of the Bangalees and Rohingyas in Bangladesh as well as in Myanmar.
本研究报告介绍了孟加拉国境内罗辛亚难民的人权状况,特别是他们获得该国国籍的人权。本研究还以比较的方式介绍了孟加拉国孟加拉国人的国籍人权。本研究从第一手和第二手资料来源收集数据,并对这些数据进行系统分析,以解决罗辛亚人和孟加拉人的国籍问题。本研究旨在为罗辛亚难民的权利问题创造舆论环境,缅甸政府和军方迫使罗辛亚难民从缅甸逃到孟加拉国。本研究表明,三十多年来,孟加拉国种族/文化和语言占多数的 "孟加拉人 "的国籍权一直被忽视。本研究探讨了政府和外国为帮助罗辛亚人维持生计而提供的援助、许多罗辛亚人从考克斯巴扎尔迁移到诺阿卡利县的巴桑查尔,以及缅甸和孟加拉国围绕罗辛亚人的地缘政治问题。报告揭示了与孟加拉人以及孟加拉国境内的罗兴亚难民的国籍和公民身份有关的法律问题,律师和普通读者很少涉及这一问题。它说明了国籍和公民身份之间的区别,并提出了一些建议,以解决孟加拉国和缅甸的孟加拉人和罗辛亚人的国籍和公民身份问题。
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引用次数: 0
INTEGRATING ARTIFICIAL INTELLIGENCE IN HRM: THE ROLE OF MANAGEMENT INFORMATION SYSTEMS IN ENHANCING DECISION-MAKING PROCESSES 将人工智能融入人力资源管理:管理信息系统在加强决策过程中的作用
Pub Date : 2024-07-04 DOI: 10.62304/ijmisds.v1i04.177
Md Ashrafuzzaman, Khan Bahadur Prince, Anisur Rahman
This study delves into the integration of Artificial Intelligence (AI) in Human Resource Management (HRM) and examines the pivotal role of Management Information Systems (MIS) in enhancing decision-making processes. The transformative capabilities of AI are revolutionizing HRM by making operations more efficient, precise, and data-driven. By leveraging AI, MIS can significantly improve the decision-making processes within HRM, enabling more accurate, timely, and objective outcomes. This comprehensive analysis, based on a systematic review of 100 studies, underscores the various benefits of integrating AI within HRM systems, such as improved recruitment processes, enhanced performance management, and increased employee engagement. Additionally, the study addresses the challenges associated with AI adoption, including technical, ethical, and organizational hurdles. It also explores the future prospects of AI in HRM, suggesting that continuous advancements and strategic implementations of AI-enabled MIS can lead to superior organizational outcomes. The findings from this study indicate that the adoption of AI-enabled MIS holds substantial potential for enhancing HR decision-making processes, ultimately contributing to better organizational performance and competitive advantage.
本研究深入探讨了人工智能(AI)与人力资源管理(HRM)的结合,并研究了管理信息系统(MIS)在加强决策过程中的关键作用。人工智能的变革能力正在彻底改变人力资源管理,使其运作更加高效、精确和数据驱动。通过利用人工智能,管理信息系统可以极大地改进人力资源管理的决策过程,使决策结果更加准确、及时和客观。本研究在对 100 项研究进行系统回顾的基础上进行了全面分析,强调了将人工智能整合到人力资源管理系统中的各种好处,如改进招聘流程、加强绩效管理和提高员工参与度。此外,本研究还探讨了采用人工智能所面临的挑战,包括技术、道德和组织方面的障碍。研究还探讨了人工智能在人力资源管理中的未来前景,认为人工智能管理信息系统的不断进步和战略实施可以带来卓越的组织成果。本研究的结果表明,采用人工智能化的管理信息系统在加强人力资源决策过程方面具有巨大潜力,最终有助于提高组织绩效和竞争优势。
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引用次数: 0
Rohingya Refugee in Bangladesh: An Overview from Multi-DimenSional Approaches 孟加拉国的罗兴亚难民:多学科方法概述
Pub Date : 2024-06-09 DOI: 10.62304/jldpss.v3i2.167
Najmus Saqib Bin Rafi
The Rohingya refugee crisis is not a recent phenomenon for Bangladesh rather Bangladesh has started experiencing the problems of the issue of Refugees since 1978. Presently, a large number of unregistered refugees fled from Myanmar and are living in two official camps in Nayapara and Kutupalong which have become a matter of great concern for Bangladesh. These people are simply spoiling the reputation of Bangladesh in the international arena, at the same time, becoming the security threat for Bangladesh through committing various crimes including involving themselves in terror activities, working like drug traffickers and others as well as using fake Bangladeshi passport. However, this article is a comprehensive study to understand about- “Rohingya Refugee in Bangladesh: An Overview from Multi-Dimensional Approaches”. Here, obviously tried to understand from Bangladesh perspective but also an objective study of how Bangladesh is facing challenges to deal with the crisis and also a discussion on how other powerful countries and International Organizations are working to resolve the most burning issue. Moreover, this article argues that the Rohingya crisis is no longer only a humanitarian calamity but a potential threat to Bangladesh’s internal stability.
罗辛亚难民危机并不是孟加拉国最近才出现的现象,相反,孟加拉国自 1978 年起就开始经 历难民问题。目前,大量未登记的难民从缅甸逃出,居住在纳亚帕拉和库图帕隆的两个官方难民营中,这已成为孟加拉国极为关注的问题。这些人不仅破坏了孟加拉国在国际舞台上的声誉,还通过参与恐怖活动、从事贩毒等活动以及使 用伪造的孟加拉国护照等各种犯罪行为,对孟加拉国的安全构成威胁。然而,本文是对 "孟加拉国的罗兴亚难民 "的全面研究:多维方法概述"。本文显然试图从孟加拉国的角度来理解,但也客观地研究了孟加拉国在应对危机时所面临的挑战,并讨论了其他强国和国际组织如何努力解决这一最紧迫的问题。此外,本文认为罗辛亚危机不再仅仅是一场人道主义灾难,而是对孟加拉国国内稳定的潜在威胁。
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