Assessment of Municipal Solid Waste Management in the Farmgate Area of Dhaka North City Corporation

This investigation is focused on conducting a thorough analysis of Municipal Solid Waste Management (MSWM). MSWM encompasses a range of interdisciplinary measures that govern the various stages involved in managing unwanted or non-utilizable solid materials, commonly known as rubbish, trash, junk, refuse, and garbage. These stages include generation, storage, collection, recycling, transportation, handling, disposal, and monitoring. The waste materials mentioned in this context exhibit a wide range of items, such as organic waste from food and vegetables, paper, plastic, polyethylene, iron, tin cans, deceased animals, byproducts from demolition activities, manure, and various other discarded materials. This study aims to provide insights into the possibilities of enhancing solid waste management in the Farmgate area of Dhaka North City Corporation (DNCC). To accomplish this objective, the research examines the conventional waste management methods employed in this area. It conducts extensive field surveys, collecting valuable data through interviews with local residents and key individuals involved in waste management, such as waste collectors, dealers, intermediate dealers, recyclers, and shopkeepers. The results indicate that significant amounts of distinct waste categories are produced daily. These include food and vegetable waste, which amount to 52.1 tons/day;polythene and plastic, which total 4.5 tons/day;metal and tin-can waste, which amounts to 1.4 tons/day;and paper waste, which totals 5.9 tons/day. This study highlights the significance of promoting environmental consciousness to effectively shape the attitudes of urban residents toward waste disposal and management. It emphasizes the need for collaboration between authorities and researchers to improve the current waste management system.

E-learning在医学教育领域内的实践与研究

科学技术与医学教育的发展,对医学教育的过程及途径提出新要求。电子学习(E-learning)作为一种新型教学方式,早已在教育、培训等领域广泛应用,尤其是在国外。在国内医学教育领域中,E-learning也得到迅速发展,并发挥积极作用。随着这种应用趋势的展开,不少学者对此进行相关研究。本文在对E-learning方式进行解读的基础上,追溯其发展历程与在医学教育领域内的应用现状,对相关的国内外研究资料进行回顾,为E-learning在国内医学教育的实践研究提供建设性启示。

基于E-learning的翻转课堂模式在消化系统疾病实习教学中的应用效果

目的 探讨基于E-learning的翻转课堂模式在消化系统疾病实习教学中的应用效果。方法 选取2021年8月至2022年7月在新疆医科大学第一临床医学院就读的200名临床医学专业学生,采用随机数字表法分为研究组(100名)与对照组(100名)。研究组采用基于E-learning的翻转课堂模式教学,对照组实施传统教学模式教学。比较两组学生自我评价、教师对学生能力评价以及理论考核和临床操作考核成绩。结果 研究组学生学习兴趣、学习效率、学习信心、总体满意度的自我评价均高于对照组(P均<0.05);带教教师对研究组学生自主学习能力、团队协作能力、临床思维能力、临床技能能力评价均高于对照组(P均<0.05);研究组学生理论考核和临床操作考核成绩均高于对照组(P均<0.05)。结论 基于E-learning的翻转课堂模式可有效培养学生临床思维和操作能力,提升消化系统疾病实习教学效率及教学效果。

Prevalence of Cesarean Section at Georgetown Public Hospital Corporation, Guyana: An Institution-Based Cross-Sectional Study

The International Healthcare Community recommends that countries do not exceed a 15% rate for cesarean section (CS). Our objective was to determine the prevalence and factors associated with CS at GPHC from July to September 2022. Methods: A cross-sectional study was carried out and data were collected from 1296 mothers, who met the inclusion criteria, through face-to-face interviews after obtaining prior informed consent. We performed descriptive analyses both for the outcome and independent variables. Bivariate and multiple logistic regression were used to identify factors associated with CS with a p-value Results: The prevalence of CS at GPHC was 28.9% (95%CI: 26.5-31.5). Factors associated factors with CS were mothers aged 20 to 34 years (AOR: 1.56, 95%CI: 1.02 - 2.39, P = 0.039);mothers who received more than three minimum wages (AOR: 1.95, 95%CI: 1.29 - 2.97, P = 0.002) and who attended prenatal care at both public and private health facilities (AOR: 2.49, 95% CI: 1.19 - 5.22, P = 0.022). Likewise, the highest Odds of CS were observed in mothers with gestational hypertension (AOR: 2.00, 95%CI: 1.35 - 2.96, P Conclusion: The prevalence of CS is higher than the ideal rate recommended by the International Healthcare Community. More studies are needed to understand the reasons for such high prevalence at GPHC.

Blockchain-Based Decentralized Authentication Model for IoT-Based E-Learning and Educational Environments

In recent times,technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners.Integrating the Internet of Things(IoT)into education can facilitate the teaching and learning process and expand the context in which students learn.Nevertheless,learning data is very sensitive and must be protected when transmitted over the network or stored in data centers.Moreover,the identity and the authenticity of interacting students,instructors,and staff need to be verified to mitigate the impact of attacks.However,most of the current security and authentication schemes are centralized,relying on trusted third-party cloud servers,to facilitate continuous secure communication.In addition,most of these schemes are resourceintensive;thus,security and efficiency issues arise when heterogeneous and resource-limited IoT devices are being used.In this paper,we propose a blockchain-based architecture that accurately identifies and authenticates learners and their IoT devices in a decentralized manner and prevents the unauthorized modification of stored learning records in a distributed university network.It allows students and instructors to easily migrate to and join multiple universities within the network using their identity without the need for user re-authentication.The proposed architecture was tested using a simulation tool,and measured to evaluate its performance.The simulation results demonstrate the ability of the proposed architecture to significantly increase the throughput of learning transactions(40%),reduce the communication overhead and response time(26%),improve authentication efficiency(27%),and reduce the IoT power consumption(35%)compared to the centralized authentication mechanisms.In addition,the security analysis proves the effectiveness of the proposed architecture in resisting various attacks and ensuring the security requirements of learning data in the university network.

Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification.Themajor research areas of this field include object detection and object recognition.Moreover,wireless communication technologies are presently adopted and they have impacted the way of education that has been changed.There are different phases of changes in the traditional system.Perception of three-dimensional(3D)from two-dimensional(2D)image is one of the demanding tasks.Because human can easily perceive but making 3D using software will take time manually.Firstly,the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through visualization.Secondly,the computer labs in schools are now more common than ever.Thirdly,online classes have become a reality.However,transferring to online education or e-learning is not without challenges.Therefore,we propose a method for improving the efficiency of e-learning.Our proposed system consists of twoand-a-half dimensional(2.5D)features extraction using machine learning and image processing.Then,these features are utilized to generate 3D mesh using ellipsoidal deformation method.After that,3D bounding box estimation is applied.Our results show that there is a need to move to 3D virtual reality(VR)with haptic sensors in the field of e-learning for a better understanding of real-world objects.Thus,people will have more information as compared to the traditional or simple online education tools.We compare our result with the ShapeNet dataset to check the accuracy of our proposed method.Our proposed system achieved an accuracy of 90.77%on plane class,85.72%on chair class,and car class have 72.14%.Mean accuracy of our method is 70.89%.

Student’s Health Exercise Recognition Tool for E-Learning Education

Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.

Practice and Outlook of China's Regulation on the Extraterritorial Human Rights Responsibilities of Transnational Corporations

As China’s overseas investment and business operations continue to expand,the issue of human rights risks faced by Chinese transnational corporations abroad has attracted sustained attention from society.In recent years,China has enacted a series of laws,regulations,and policies to better regulate the overseas business conduct of transnational corporations,urging them to respect the human rights of the people in host countries and fulfill their social responsibilities to achieve sustainable development.Meanwhile,China has actively participated in the formulation of the Legally Binding Instrument on Activities of Transnational Corporations and Other Business Enterprises in International Human Rights Law,providing a Chinese solution to promote global governance of transnational corporations.However,in practice,the lack of institutional mechanisms,systems,and industry rules to supervise and guide transnational enterprises in fulfilling their human rights responsibilities,as well as the limited awareness of human rights risks among these enterprises,have resulted in ongoing human rights risks in their overseas business operations,particularly regarding labor rights and environmental rights.In response,China should take its national conditions into consideration and focus on the development trends of human rights issues in the business sector at the international level.Drawing on the experiences of other countries,China should explore and establish institutional and practical measures to regulate the human rights responsibilities of transnational enterprises through legislation,administration,and judiciary actions,in order to address the risks and challenges faced by Chinese enterprises in foreign investments and contribute to the sustainable development of the world and global human rights governance.

A New Cyber Risk: How Teens Expose Corporations in WFH Era

We analyze the risks associated with teenagers’ online activities and the potential migration of cyber threats originating from teenagers to their parents’ work-from-home (WFH) devices, even when defensive measures such as VPN are employed. Furthermore, we examine the serious implications these risks have on corporate security. Of particular concern, parents who work with confidential corporate information, such as financial projections or product roadmaps, might find that their kids are targeted by hackers who seek an easier entry-point to home networks and eventually WFH devices. This paper is timely since there is a rising trend of hybrid work in white-collar professions, mixing traditional in-office work with WFH. The latter is increasingly done in split shifts, including work performed before breakfast or after dinner. While this shift offers numerous workforce advantages and helps teen-parent bonding, it also introduces a plethora of cybersecurity risks, especially when these devices and networks are shared with teenagers on home networks. We did a structured survey of 62 teens which confirms that risky online activity abounds, so the threat of risk migration onto corporate networks should not be ignored. We perform a migration risk assessment and identify which teen-origin risks are most likely to contaminate parents’ WFH devices. We evaluate 20 attack vectors and generate 60 risk ratings. We classify 29 as high risk, 8 as medium risk, 13 as low risk, and 10 as not relevant. We offer recommendations to mitigate this new set of cyber risks.

Counteraction to China?Impact of the U.S.International Development Finance Corporation on China’s Development Finance

The United States passed the Better Utilization of Investment Leading to Development(BUILD Act),as a counterweight to China’s overseas development activities.Under the Act,the US established a new federal agency,the U.S.International Development Finance Corporation(DFC),to enhance U.S.development financing capabilities.To better understand the impact of the DFC on China’s development finance,this article analyzes the DFC’s purpose,functions,structure,and funding.Then it focuses on the purpose of establishing the DFC,providing a preliminary analysis of the potential motivation for its establishment.It also compares the China Development Bank(CDB)and the DFC based on their focused sectors.Finally,through an in-depth analysis of financial frictions in China-U.S.relations,this article argues that the DFC competes with China’s overseas development financing activities in the context of broader strategic competition between China and the U.S.

Research on the Influence of Equity Structure on Corporate Performance

Equity structure constitutes a crucial component of corporate internal governance.A scientifically and reasonably structured equity system aids in enhancing the level and efficiency of corporate governance.Through empirical analysis of data spanning from 2013 to 2022,the study aims to verify the influence mechanism of equity structure on corporate performance.The results indicate that enhancing equity concentration and balance positively impacts corporate performance,with this effect persisting over time.Consequently,optimizing the degree of equity concentration,shareholder types,and the board of directors’structure can assist enterprises in maximizing long-term value.

The Impact of Sustainable Development Strategies on Corporate Performance

Enterprises must develop and implement effective strategic measures to achieve sustainable development.This entails evaluating corporate performance,understanding the impact of sustainable development strategies on corporate performance,and implementing such strategies.The article proposes eight critical countermeasures to foster harmony and sustainable development among humanity,nature,the economy,and society:innovation-driven initiatives,green development practices,social responsibility initiatives,talent cultivation programs,collaborative cooperation efforts,sound financial management,brand-building endeavors,and effective information management.

Impact of Artificial Intelligence on Corporate Leadership

Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examining both its advantages and disadvantages. Positive impacts of AI are evident in communication, feedback systems, tracking mechanisms, and decision-making processes within organizations. AI-powered communication tools, as exemplified by Slack, facilitate seamless collaboration, transcending geographical barriers. Feedback systems, like Adobe’s Performance Management System, employ AI algorithms to provide personalized development opportunities, enhancing employee growth. AI-based tracking systems optimize resource allocation, as exemplified by studies like “AI-Based Tracking Systems: Enhancing Efficiency and Accountability.” Additionally, AI-powered decision support, demonstrated during the COVID-19 pandemic, showcases the capability to navigate complex challenges and maintain resilience. However, AI adoption poses challenges in human resources, potentially leading to job displacement and necessitating upskilling efforts. Managing AI errors becomes crucial, as illustrated by instances like Amazon’s biased recruiting tool. Data privacy concerns also arise, emphasizing the need for robust security measures. The proposed solution suggests leveraging Local Machine Learning Models (LLMs) to address data privacy issues. Approaches such as federated learning, on-device learning, differential privacy, and homomorphic encryption offer promising strategies. By exploring the evolving dynamics of AI and leadership, this research advocates for responsible AI adoption and proposes LLMs as a potential solution, fostering a balanced integration of AI benefits while mitigating associated risks in corporate settings.

The Discourse-Historical Approach of Identity Construction in Corporate Promotional Videos for External Publicity Image

Corporate identity construction of external publicity image is an important part of the development of enterprises.Based on Wodak’s discourse-historical approach,this study takes the text of COFCO’s English promotional video as the research object,analyzes the corporate brand image,media image,organizational image,and environmental image constructed by the enterprises from three steps:linguistic expression,discourse strategy,and theme to provide references for Chinese enterprises to enhance their international influence.

The Correlation between Corporate Social Responsibility(CSR)and Chinese Family Enterprises in China

It is imperative to aggressively advocate for and transmit the ideas of corporate social responsibility as Chinese family enterprises transition into the phase of corporate inheritance.This study conducts a thorough examination of existing literature to elucidate the concept and model of western corporate social responsibility.It also analyses the current state of Chinese corporate social responsibility and highlights the fulfilment of corporate social responsibility by private enterprises.Furthermore,it specifically investigates the significance of family enterprises in promoting and preserving the culture of corporate responsibility.Lastly,it delves into the correlation between corporate social responsibility and family enterprises.This study presents the process of transmission and inheritance of Chinese family firms,focusing on the influence of Chinese traditional culture,the original purpose of enterprise development,and enterprise image.

Corporate Social Responsibility and Shipping Supply Chain Risks

This study aims to investigate whether Corporate Social Responsibility(CSR)activities reduce supply chain disruptions by examining the impact of the Suez Canal obstruction on the Ever Given container ship in March 2021.This study conclude that the more responsible companies have higher returns and are less affected by this event than the less responsible companies;the less responsible companies have lower returns.The companies with better CSR have a lower impact on their supply chains when faced with disruptions in the supply chain.

基于E-learning的混合式教学模式研究

在通过对当前教育环境的发展变化和E-Learning的发展与创新进行研究分析的基础上,对ELearning与传统教学模式进行比较,提出将基于先进的网络技术的E-learning教学模式与传统的教学模式有机地结合,互相补充,最大限度地体现各自教学模式的精华,强烈地激发学生主动学习的潜力,最终形成基于E-Learning的混合式教学模式。这是一种开放性、创新性的教育思想和模式,从而有效突破了传统校园教育的局限,提高了教学资源利用率,并促进了教学质量的提升,同时也增进了各高校之间的教学联系和学术交流,带来了更多的知识创新成果,最终提高了教育质量。

企业E-learning现状调查与分析——以TCL集团为研究个案

借助互联网的应用热潮,E-learning这一数字化学习方式已经成为各大企业开展员工培训的重要方式。TCL集团作为我国"数字化学习港"教学改革项目唯一的企业示范点,正努力探索"数字化学习型企业"的建设及运行规律;而企业管理者和员工对E-learning的认识、需求及习惯是创建"数字化学习型企业"的重要依据。本文以TCL集团为个案,通过对其下属公司管理者和员工的问卷调查、访谈与分析,发现企业培训主管和企业员工都对采用E-learning培训有强烈愿望并持肯定态度,但对E-learning的认识尚不够深入;同时企业在E-learning的组织实施及提供学习支持服务等方面仍需进一步探索。

本体驱动的e-Learning知识资源个性化推荐研究

e-Learning重要特点就是能够根据学习者特性、需求,适应性呈现学习资源和学习路径,实现个性化学习,有效促进学习目标达成。为实现e-Learning知识资源个性化推荐,该文采用基于知识推荐技术,同时基于本体技术创建学习者知识和知识资源,在教学模式的指导下实现知识资源个性化推荐。实验结果表明:学生能够很好理解本体概念,愿意学习本体知识,同时认为本体驱动的知识资源个性化推荐很有用,能够满足个性化学习需求、激发学习者学习动机、增强网络自主学习能力及优化学习过程。本文研究的意义:一是基于学习者特征讨论了合适的推荐技术;二是设计了学习者知识和学习资源的通用本体;三是为知识资源个性化推荐设计了有效指导教学模式。

基于情境感知和本体的E-Learning系统研究

为了合理、有效地描述E-Learning环境中学习者的学习情形,利用本体论具有知识组织清晰、概念和关系定义明确的特性,建立了E-Learning环境中的情境信息本体模型。为提高学习者的学习兴趣和学习效率,对采集到的情境信息进行情境推理后,采用资源调度控制算法调用相应的学习资源服务及时向学习者提供。应用实例验证了基于情境感知的本体E-Learning系统的服务性能。