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.

Moderating effect of corporate financialization on the impact of climate policy on corporate green innovation:Evidence from China

With intensifying global climate change,humanity is confronted with unparalleled environmental challenges and risks.This study employs the staggered difference-in-difference model to examine the relationship between climate policy and green innovation in the corporate financialization context.Using Chinese-listed company data from 2008 to 2020,our analysis reveals a favorable correlation between China’s carbon emission trading policy(CCTP)and advancements in green innovation.Furthermore,we find that the level of corporate financialization moderates this correlation,diminishing the driving effect of CCTP on green innovation.Additionally,results of heterogeneity analysis show that this moderating consequence is more evident in non-state owned and low-digitization enterprises compared with state-owned and high-digitization ones.Our findings contribute to the existing literature by clarifying the interaction between CCTP,green innovation,and corporate financialization.Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.

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.

Leveraging Predictive Analytics for Strategic Corporate Communications: Enhancing Stakeholder Engagement and Crisis Management

This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a comprehensive literature review with case studies of five multinational corporations, allows us to investigate the applications, challenges, and ethical implications of leveraging predictive models in communication strategies. While our findings reveal significant potential for enhancing personalized content delivery, real-time sentiment analysis, and proactive crisis management, we stress the need for careful consideration of challenges such as data privacy concerns and algorithmic bias. This emphasis on ethical implementation is crucial in navigating the complex landscape of predictive analytics in corporate communications. To address these issues, we propose a framework that prioritizes ethical considerations. Furthermore, we identify key areas for future research, thereby contributing to the evolving field of data-driven communication management.

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.

The Impact of Corporate Governance and Fair Value Accounting on Debt Contracts

This paper investigates the theoretical relationship between corporate governance,fair value accounting,and debt contracts.It primarily examines the individual impacts of corporate governance and fair value accounting on debt contracts,while also exploring the influence of corporate governance on fair value accounting.The study emphasizes the importance of considering the interests and legal status of creditors in the context of debt contracts.The findings indicate that strong corporate governance can reduce the likelihood of debt default and that the company’s restructuring costs in the event of a default determine whether improved corporate governance will increase or decrease debt costs.Additionally,the study reveals that the strength of corporate governance affects the value relevance of fair value accounting.However,the impact of fair value accounting on debt contracts is not inherently positive or negative;for instance,companies may use fair value adjustments with manipulative intent to enhance performance.Ultimately,the research highlights that discussions about corporate governance should not prioritize shareholder interests exclusively but also consider the legitimate position of creditors.

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.

Research on the Impact of BYD Group’s Green Innovation on Corporate Financial Performance under the Background of“Dual Carbon”

With the increasingly severe global climate change problem,the“dual carbon”goals(peak carbon emissions and carbon neutrality)have become a common focus of international attention.The report of the 20th National Congress of the Communist Party of China clearly emphasizes the need to accelerate the green transformation of development models,implement comprehensive strategies for frugal development,support the growth of green and low-carbon industries,and promote the concept of green consumption.At the same time,“Made in China 2025”also elaborates on the strategic concept of innovation-driven and green development centered,and strives for breakthroughs in key industries such as new energy vehicles.In such a macro environment,adopting green innovation measures by enterprises not only contributes to ecological protection but also has an undeniable impact on their economic performance and overall value.This article takes BYD Group as a case study to explore in detail the positive effects of green innovation on its economic performance.We first systematically organized and analyzed BYD’s specific practices in green innovation;Then,by examining three key financial indicators,BYD’s current financial situation was analyzed in depth;On this basis,combined with research data,the positive impact of green innovation on BYD’s financial performance was revealed;Finally,based on the analysis results,relevant suggestions are proposed to provide reference for the sustainable development of enterprises in the context of“dual carbon.”

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.

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.

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.

高速铁路主跨320 m钢-混部分斜拉桥无砟轨道适应性研究

南玉高铁六景郁江特大桥设计将钢-混部分斜拉桥结构引入时速350 km高速铁路领域,而300 m级以上大跨度桥上无砟轨道的竖向变形极易超限,影响列车通过的安全性和舒适性,因此,系统研究在此大跨桥梁结构上铺设无砟轨道的适应性十分必要。通过建立有限元及动力学模型,分析不同组合工况下无砟轨道结构的变形特点及动力特性,运用60 m弦测法探究各工况下无砟轨道的线形变化规律,从而确定大跨度钢-混部分斜拉桥铺设无砟轨道的适应性,并对设计和施工提出合理化建议。主要结论如下:在各种不利组合荷载作用下,桥上无砟轨道结构强度满足规范要求,列车通过大桥的各项安全性与舒适性指标均满足规范要求;混凝土收缩徐变和斜拉索升降温是影响无砟轨道线形标准的两大主因,应在无砟轨道施工前确保足够的沉降观测期和收缩徐变释放期,并充分考虑拉索的保温设计;在温度组合荷载作用下,桥上无砟轨道的60 m弦测不平顺幅值为6.79 mm,满足高速铁路静态验收标准;但在叠加列车荷载和收缩徐变后,变形弦测值均出现Ⅱ级及以上超限,通过合理设置预拱度后可有效改善轨道平顺性标准。

地区空气污染的“压力”与企业绿色转型的“动力”——基于城市PM2.5和公司并购的实证发现

地区空气污染会影响域内各类市场主体行为,包括微观企业决策。碳达峰、碳中和的提出要求各地加强空气污染治理,推动企业绿色转型,而绿色并购是企业绿色转型的重要方式。利用2013—2018年我国A股上市的污染企业发起的并购为样本,并手动搜集整理确定绿色并购样本,实证研究地区空气污染对域内企业绿色转型的影响。研究发现,地区空气污染加剧会提升域内污染企业绿色并购的意愿。在此基础上,通过并购前后企业信息披露质量和社会责任承担变化,研究发现地区空气污染加剧下的企业绿色转型并非源于自主绿色转型发展的内生“动力”,更多是外部“压力”下的“工具主义”行为。从影响路径来看,地区空气污染引致的压力会通过行业竞争和融资约束这两个途径影响污染企业绿色转型的“动力”。最后,异质性检验发现在市场化程度高和非国有企业样本,地区空气污染加剧对企业绿色并购的促进作用更为显著。

M-APSK鉴相算法与并行载波同步方法

为实现M进制幅相调制(M-APSK)体制下高阶调制信号的相位精细校正,将DVB-S2标准推荐的16APSK和32APSK的Q次方无数据辅助鉴相算法进行了扩展,以应用于64APSK、128APSK和256APSK等高阶调制。针对高阶调制的有效鉴相星座点占比较低时环路工作不稳定的问题提出了改进算法,通过对功率归一化后接收符号的幅值进行阈值判决,仅在高于阈值时进行鉴相,低于阈值时则不改变滤波器状态和相位补偿值,以提高星座点的鉴相有效性和可靠性,从而降低入锁门限。针对高速数传的符号速率非常高,而处理器的工作时钟频率相对较低的问题,提出了一种适用于M-APSK的并行载波同步方法,可以满足接收机工作时钟处理需要。相对于传统固定编码调制(CCM)的载波同步环路,该并行方法还可应用于可变编码调制(VCM)体制的频率跟踪。

过表达lncRNAHEM2M改善非酒精性脂肪肝病小鼠的肝脏损伤

目的探讨过表达长链非编码RNA(lncRNA)HEM2M对非酒精性脂肪肝病(NAFLD)小鼠肝损伤的影响。方法野生型C57BL/6(WT)和条件性髓系细胞lncRNAHEM2M过表达(MYKI)小鼠分别喂饲普通饮食(ND)和高脂饮食(HFD),即为WT+ND、MYKI+ND、WT+HFD和MYKI+HFD组。12周后行腹腔糖耐量及胰岛素耐量试验后处死小鼠,检测小鼠血清和肝脏组织的肝功能指标,制备肝脏组织切片后行HE染色和F4/80免疫组化染色,ELISA法检测肝脏组织中IL-6、IL-1β和TNF-α水平,qRT-PCR检测M1型(TNF-α、iNOS和IL-6)和M2型(Arg-1、YM-1和IL-10)巨噬细胞标志物mRNA表达,免疫印迹检测肝脏组织中P-AKT、T-AKT、NLRC4、caspase-1和GSDMD蛋白表达,比色法和免疫荧光测定肝脏组织caspase-1活性。结果与HFD喂饲的WT小鼠相比,MYKI+HFD小鼠肝功能损伤减轻(P<0.01),肝脏脂肪变缓解,肝脏巨噬细胞浸润减少,糖耐量损伤及胰岛素抵抗改善(P<0.01);MYKI+HFD小鼠肝脏组织IL-6、IL-1β和TNF-α水平降低(P<0.01),M1型巨噬细胞标志物mRNA表达减少(P<0.01),M2型mRNA表达增加(P<0.01);MYKI+HFD小鼠肝脏组织NLRC4炎症小体活性降低(P<0.01),活性caspase-1减少,GSDMD-N蛋白表达降低(P<0.05)。结论过表达lncRNAHEM2M降低NAFLD小鼠肝脏炎症因子水平,进而改善胰岛素抵抗并抑制肝脏NLRC4炎症小体激活,减少肝细胞焦亡,最终改善NAFLD小鼠肝脏损伤。

RBMX通过下调PKM2抑制膀胱癌细胞的增殖、迁移、侵袭和糖酵解

目的探讨X连锁RNA结合基序蛋白(RBMX)对膀胱癌细胞(1376细胞和UC-3细胞)的增殖、迁移、侵袭的影响以及其在糖酵解中的作用。方法采用慢病毒表达系统和siRNA干扰技术,分别构建RBMX过表达和敲低的膀胱癌细胞模型(1376细胞和UC-3细胞)。采用RT-qPCR和Westernblotting分别在mRNA水平和蛋白水平上检测细胞模型是否构建成功。通过EdU增殖实验和克隆形成实验检测过表达和敲低RBMX后细胞的生长和集落形成能力,同时通过Transwell实验分析过表达和敲低RBMX后对细胞迁移、侵袭能力的影响;随后,采用Westernblotting检测过表达和敲低RBMX后糖酵解关键蛋白PKM1(M1型丙酮酸激酶)和PKM2(M2型丙酮酸激酶)的表达变化;最后,利用葡萄糖和乳酸检测试剂盒分析过表达和敲低RBMX对膀胱癌细胞糖酵解的影响。结果RT-qPCR和Westernblotting结果显示,过表达RBMX膀胱癌细胞的mRNA和蛋白表达水平显著高于阴性对照组(P<0.05),敲低RBMX膀胱癌细胞的mRNA和蛋白表达水平显著低于阴性对照组(P<0.05)。过表达RBMX明显抑制膀胱癌细胞的增殖、克隆形成、迁移和侵袭,敲低RBMX则作用相反。Westernblotting实验结果显示,过表达RBMX使PKM1表达上升,PKM2表达下降,敲低RBMX则作用相反。葡萄糖消耗及乳酸生成实验表明,过表达RBMX均能抑制膀胱癌细胞葡萄糖消耗及乳酸生成(P<0.05),敲低RBMX均能促进膀胱癌细胞葡萄糖消耗及乳酸生成(P<0.05)。结论RBMX通过下调PKM2抑制膀胱癌的发生发展和糖酵解能力,有望成为膀胱癌诊断和治疗的潜在分子靶标。

下调METTL5通过Wnt/β-catenin信号通路抑制三阴乳腺癌细胞增殖、迁移与侵袭

目的探讨甲基转移酶5(methyltransferase-like 5,METTL5)在三阴乳腺癌(triple-negative breast cancer,TNBC)中的作用和潜在机制。方法采用免疫组织化学方法和Western blot检测TNBC肿瘤组织和细胞系中METTL5的表达情况。用靶向METTL5的shRNA(shRNA-METTL5)转染TNBC细胞后,用CCK-8、集落形成、伤口愈合以及Transwell实验分别检测细胞增殖活性、迁移与侵袭,Western blot检测Wnt/β-catenin信号关键蛋白的表达。构建异种移植瘤模型,验证敲降METTL5对TNBC细胞在体内生长以及Wnt/β-catenin信号活性的影响。结果METTL5在TNBC肿瘤组织和细胞系中表达上调(P<0.01)。敲降METTL5可抑制TNBC细胞的增殖、迁移和侵袭并降低了Wnt/β-catenin信号分子β-catenin、细胞周期蛋白(Cyclin)D1、基质金属蛋白酶(MMP)-2和MMP-7的表达(均P<0.01)。体内实验显示,敲降METTL5减缓了移植瘤生长和Wnt/β-catenin信号活性。结论敲降METTL5能抑制TNBC细胞的增殖、迁移与侵袭,其作用可能与抑制Wnt/β-catenin信号通路有关。

关于7.63m焦炉上升管结石墨原因分析及治理对策的研究

德国伍德公司开发的7.63 m特大型复热式焦炉在生产过程中上升管根部结石墨严重,成为制约焦炉正常生产的突出矛盾。从焦炉加热水平、焦炉加热制度、装煤量等因素综合分析影响上升管根部结石墨的成因,研究制定降低上升管根部结石墨速率的方法及自动清除上升管根部石墨的装置,达到避免因上升管根部结石墨影响焦炉生产的目的。

基于m×2正则化交叉验证的神经网络超参数调优方法

超参数调优是神经网络建模的关键问题。针对传统的超参数调优方法存在的问题,该文提出了一种基于m×2正则化交叉验证的超参数调优方法。目的是给出一种适用于复杂模型、大数据集背景下的计算开销较小且稳健的超参数调优方法。该方法的思想是从完整的数据集上选取少部分数据进行调优,避免模型在数据集较大时非常耗时的超参数调优难题;在m×2交叉验证的基础上设置正则化条件均衡训练集与验证集之间的分布差异,从而减少分布不一致带来的性能波动;使用信噪比作为调优的优化目标,从而可以综合考虑模型性能评价指标的均值和方差;并采用正交设计选择相关性较低的超参数组合以提高调优效率。以命名实体任务为例进行实验,在CoNLL 2003数据集上的实验结果显示,提出的调优方法能够选到和网格搜索性能上没有显著差异的超参数组合,且调优时间可显著降低约66%。