Effective Control Mechanism Research Articles

Угрозы для национальных экономик со стороны бесконтрольного движения капитала и механизмы их купирования

The financial authorities of many countries involved in the process of globalizing the world economy are observing the positive consequences of including their country in a single financial network, forgetting about the need to monitor potential threats. The increasing volume of cross-border transactions creates the illusion of improving the national economy, since along with capital imported from abroad, the country gets the opportunity to boost its economic development. The international movement of capital (IMC), being an integral part of globalization, creates the misconception that there are inexhaustible resources for the development and further accumulation of national wealth, but foreign investors are not always interested in the development of the economy of their host country. False expectations from capital coming from abroad create excessively high risks for the national economy, which is confirmed by numerous examples of the implementation of these risks in many countries that have entrusted their economic well-being to the process of globalization. The purpose of this article is to substantiate the existence of risk from uncontrolled cross-border transactions. The practical significance of the article is expressed in the assessment of the effectiveness of the control mechanisms used in different countries for MDK in crisis situations. This article examines examples of the negative impact of the IMC on the economies of Argentina (2011-2016), India (1991-1995) and Malaysia (1997-1998) based on statistics from the IMF and the World Bank, as well as the experience of these countries in overcoming financial problems that arose due to insufficiently strict capital control policies. The analysis made it possible to assess the need and effectiveness of using strict administrative control mechanisms for IMC in a crisis. However, this article does not provide a universal methodology for determining the most effective control mechanisms, which may be the subject of study in future studies.

Research on the innovation of early warning mechanisms of major public health emergencies for poverty alleviation and marginal populations: a case study of Fujian Province.

Poverty alleviation is critical for sustainable development. Establishing a major public health emergency warning and prevention mechanism for poverty alleviation and marginal populations can effectively determine the overall risk situation and primary risk components in diverse regions. It is conducive to formulate specific policies for risk prevention and control of public health emergencies to prevent the occurrence of poverty relapses. Expert evaluation method is used to grade the risk impact and risk probability. Combined with the Borda ordinal value method to rank the importance of risk factors, a judgment matrix is constructed. The Analytic Hierarchy Process method is used to determine the weight of the risk module. And the impact risk of major health emergencies on poverty alleviation and marginal populations is comprehensively evaluated based on the quantified value of the risk impact level. The results indicate that the production and operation risks and unemployment risks in the case area have a relatively significant impact on poverty alleviation and marginal populations. Different regional government forces and regional economic development characteristics may also form different risk weights. Therefore, risk warning models should match government development and regional development goals and be established based on the characteristics of different regions. Effective risk control mechanisms and policies can only be developed based on the characteristics and behavioral traits of different populations in the region.

Real-Time Milk Quality Control Using Multi-Spectral Sensing and Edge Computing: Advancing On-Site Detection of Milk Components with XGBoost

This study explores the use of edge computing technologies to enhance the quality control processes in the dairy industry. Traditional milk quality control methods can be time-consuming and sometimes inadequate, whereas this new approach offers real-time data processing and rapid decision-making capabilities. The objective of the study is to assess the effectiveness of evaluating various spectral characteristics of milk in predicting critical parameters such as protein and fat content. In this research, a multi-channel sensor capable of collecting spectral data at various wavelengths was utilized. The collected data were processed using advanced machine learning models, where XGBoost and other regression models were assessed for their accuracy in predicting protein and fat content. The findings demonstrate the suitability of this technology for quality control in the dairy industry. The results reveal that edge computing-based systems can determine milk quality more quickly and accurately. This technology holds significant potential for overcoming the challenges faced in milk quality control, particularly in developing countries. This study provides valuable insights into how the use of edge computing can enhance operational efficiency and ensure product quality in the dairy industry. This research represents an important step towards developing more effective quality control mechanisms in the dairy industry and aims to establish a robust foundation for future studies. Recommendations focus on the adaptation of this technology to other food safety applications and its diversification for widespread industrial use.

Monitoring Hazards in Dam Environments Using Remote Sensing Techniques: Case of Kulekhani-I Reservoir in Nepal

Maintaining the operability of a hydroelectric power station at a scale originally designed is being compromised by continuous reservoir sedimentation. The underlying factors include a complex mix of landscape alterations owing to natural and anthropogenic activities around dam areas, such as gully erosion, landslides, floods triggered by heavy rainfall, climate change, and construction activities. The hydropower projects in the low-to-mid mountain regions of Nepal are witnessing a combination of these phenomena, affecting their optimal performance in meeting long-term sustainable power supply targets. This paper presents a combination of geo-spatial analysis and field evaluations to identify the trends from Kulekhani-I, one of the oldest storage-type hydropower projects in Nepal, using long-term time series remote sensing satellite imagery from 1988 to 2020. Our analysis shows an expansion of the surface water content area over time, attributed mainly to high sedimentation deposition owing to multiple factors. This study has identified an urgent need for addressing the following two key contributory factors through an effective control mechanism to avoid rapid sedimentation in the reservoirs: natural—landslides and floods leading to mainly silt deposition during heavy rainfalls; and anthropogenic—road construction materials dumped directly in the reservoir. Effective implementation of a remote sensing monitoring scheme can safeguard future damages to dam environments of more recently built storage-type hydropower projects.

Pattern of Sprawl Development Along the Abuja–Keffi Highway Corridor in The North Central Nigeria

Purpose: The rapid expansion of urban areas worldwide is widely attributed to the growth of urban populations. The objective of this study is to examine the expansion of urban sprawl in the North Central area of Nigeria, specifically along the Abuja-Keffi highway corridor, over a period of 29 years, from 1991 to 2020. Methodology: The study utilised satellite imagery from three distinct spatio-temporal intervals (1991–2003, 2003–2015, and 2015–2020) and incorporated three different types of Landsat sensors, namely Enhanced Thematic Mapper (ETM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI). The study employed image processing and land use classification analysis techniques to generate land use and land cover (LULC). Results: The analysis of the data reveals that there has been a significant increase in sprawling development along the Abuja-Keffi highway corridor. The built-up area of the region has undergone significant expansion over the past three decades, with the urbanised land area increasing from 1081.98 hectares (4.96%) in 1991 to 10263.15 hectares in 2020, accounting for 47.06% of the total built-up area. The research also documented two distinct forms of urban growth, specifically linear and leapfrog, throughout the corridor. Applications/Originality/Value: The research recommends regional urban policy, urban growth boundaries as well as effective and efficient development control mechanism in the selected settlements along the corridor. The Abuja Municipal Area Council and Karu Local Government are urged to promote urban renewal and infrastructure development through private partnership, sustainable policies, waste management systems and community engagement.

Nose-Driven Cursor Control: An Assistive System for Disabled Individuals Using OCRM Similarity Tracking

This paper introduces a visual mouse system designed to assist disabled individuals in controlling computer mouse functions, such as cursor movement and clicking actions, using simple body gestures. Specifically, the system tracks the user’s nose tip to execute mouse commands, providing an untouchable alternative for desktop interaction. The main goal is to create an accessible, low-cost solution using widely available hardware to make computing more inclusive for individuals with physical disabilities. Using a camera, the system captures and translates user head movements into mouse gestures on the screen. The proposed methodology is built around visual tracking, isolating a sample region from each video frame and then identifying that region in subsequent frames through Optimal Cost Region Matching (OCRM). This similarity measure ensures accurate and seamless tracking of the user's movement, providing an effective control mechanism. Experimental results demonstrate that the OCRM-based visual mouse system outperforms existing Camera Mouse applications regarding reliability and efficiency. The proposed approach delivers a flexible, cost-effective, and consistent solution for enhancing computer accessibility for disabled users.

Effective control mechanisms of research on climate engineering techniques for the public good—The London Protocol regulatory approach as a role model

Effective control mechanisms of research on climate engineering techniques for the public good—The London Protocol regulatory approach as a role model

A frequency control strategy with DC microgrid systems for EV stations

ABSTRACT Fluctuations in power supply and demand lead to frequency deviations, which have detrimental effects on the operation of electrical devices and equipment. Therefore, the implementation of effective frequency control mechanisms is essential for enhancing the strength and dependability of microgrid systems. Research aims to develop a frequency control mechanism for an electrical grid system that integrates both wind and photovoltaic (PV) energy sources. The proposed system utilises a Doubly Fed Induction Generator (DFIG) system with frequency controller for regulating frequency and balancing source and demand of power in the grid. To optimise the solar power output, a Luo converter is implemented, which offers high efficiency with improved conversion of power. Additionally, an adaptive neuro fuzzy inference system (ANFIS) maximum power point tracking (MPPT) controller is engaged to ensure optimal regulation of photovoltaic system. DC link obtained from the PV system is then utilised for powering DC loads and charging electric vehicles (EVs) effectively. In order to accomplish this, a bidirectional converter is used, which permits power flow in both ways and facilitates effective EV charging from the microgrid system. The validation of research is conducted on MATLAB software, and the results proves greater converter efficiency of 94.93%, with reduced total harmonic distortion (THD) of 1.24%.

IMPORTANCE OF INTERNAL CONTROL SYSTEMS ON DETECTION AND PREVENTION OF FRAUD IN COMMERCIAL BANKS OF NEPAL

This research aims to study the importance of internal control systems to detection and prevention of fraud in commercial banks in Nepal. Advanced authentication techniques, vigilant monitoring for questionable activity, frequent staff education and awareness campaigns, and robust encryption for confidential information are all part of the process of identifying and preventing fraud. Effective internal control mechanisms are essential to the identification and aberrance of fraud in financial organizations. This study used descriptive research design to interpret the data. Using simple random sampling Ten commercial banks were selected as sample out of total Twenty commercial banks. Three level staff officer, manager, and executive were chosen on the study. Structured questionnaire was distributed to Fifty respondents but only 48 were collected and used in the study. Chi square test was applied to analyze the data. Findings of this study found that fraud in the organization is done by concealed hand and inefficient allocation of duties and authorities can not detect and prevent the fraud in commercial banks in Nepal. To detect and prevent the fraud the commercial banks need to apply effective internal control systems, allocate the duties and authorities in systematic way.

A cGAS-mediated type I interferon response in human CD4+ T cells depends on productive infection and is conserved over HIV types and strains.

Human immunodeficiency virus (HIV) type 2 is known to be less pathogenic than HIV-1, possibly due to more effective immune control mechanisms. The mechanism of innate sensing of HIV-2 by T cells is at present unclear. In this study, we show that several primary isolates of HIV-2 (CBL20 and CI85) and HIV-1 (A8 and D2), similar to the molecular clone HIV-1 NL4.3-GFP-I, induce a significant type I interferon response in its main target, activated CD4+ T cells. However, they are unable to do so after shRNA-mediated knock-down of cGAS. In addition, both HIV-1- and HIV-2-induced type I interferon response in CD4+ T cells was dependent on productive infection and integration, as the presence of RT or integrase inhibitor dramatically suppressed the sensing. Our findings collectively showed that the cGAS-dependent type I interferon response of CD4+ T cells to HIV infection is conserved over HIV types and critically depends on productive infection.IMPORTANCEBy unveiling the role of cGAS in sensing Human immunodeficiency virus types 1 and 2 (HIV-1 and HIV-2) across CD4+ T cells and highlighting its broader relevance that might be mirrored in other cell types, our research provides insights into the uniform mechanism of innate immune activation by different HIV isolates. By demonstrating the necessity of productive infection, we highlight the robust and specific nature of the observed cGAS-mediated innate response, dispelling concerns about contaminating plasmids triggering an immune response. Our preliminary data suggest that the lower pathogenicity of HIV-2 may not be directly correlated to superior innate immune control mediated by cGAS.

Systematic Review of the Effect of Financial Management Practices on Service Delivery in Secondary Schools

In this systematic review analysis design, we explore the available peer-reviewed literature on the effect of financial management practices on service delivery in African secondary schools. Specifically, we reviewed the effect of budgeting, auditing and financial internal control on the service delivery in secondary schools. Study findings reveal that budgeting ensures effective implementation of education programs. In addition, the activities in the secondary school system are adequately planned and allocate resources apportioned to ensure effective execution and implementation. Besides, audits of school accounts result in good financial management and effective control mechanism that ensures overall operational efficiency. From the results of this review, we hereby suggest that Head teachers need to manage financial resources more responsively for effective performance and fulfilling of institutional needs, those of the teachers, students and other stakeholders of respective secondary schools. It is very crucial for school administrators and support staff in charge of finances and resource mobilization to regularly attend professional development course in order to acquire relevant financial skills and competencies required for effective management of resources in the school so as to tremendously improve on the quality of secondary schools’ service delivery.

Evaluating effect of Inventory controls on financial performance of Small and Medium Enterprises in Eldoret Town, Kenya

Inventory management is essential for maintaining optimal stock levels and minimizing costs, which ultimately affects a firm's overall financial performance. This study focuses on the impact of inventory controls on the financial performance of small and medium enterprises (SMEs) in Eldoret town. Inventory controls are measured through various dimensions, such as inventory levels, inspection, auditing, and management systems. Previous research has shown that effective inventory management can increase a firm's profitability by reducing unnecessary stock holding costs and avoiding stockouts. To investigate this further, a descriptive research design was employed, and data was collected from 171 SME owners/managers through self-administered questionnaires. Descriptive statistics and regression analysis were used to analyze the data. The results revealed a significant positive relationship between inventory controls and the financial performance of SMEs. Specifically, the inventory controls explained 11.5% of the variance in financial performance. These findings suggest that SMEs that implement efficient inventory management practices tend to experience better financial outcomes. Therefore, it can be concluded that effective inventory control mechanisms are crucial for enhancing the competitiveness and growth of SMEs. Consequently, this study recommends that SME owners implement robust inventory control systems to maximize their financial performance.

The effectiveness of phosphine fumigation of wheat in a farm-scale thermosyphon silo

Fumigation of pests is essential for maintaining the quality of stored grain. Rapid and effective pest control is the key to minimise damage to the valuable grain. The current study investigated the efficiency of a farm-scale thermosyphon silo to passively circulate phosphine fumigant gas by measuring the phosphine concentrations at a series of points throughout the silo. A 50 tonne sealable grain silo with an external thermosyphon was fitted with gas sampling lines at three different levels in the grain body, and also in the headspace. The grain was fumigated with phosphine gas 12 times over a 12 month period to contrast the thermosyphon system efficiency under varied external environmental conditions. The minimum fumigation standards of 200 ppm for 10 days or 300 ppm for 7 days were reached and exceeded in all fumigation cycles throughout the year in 12.5–22 days, demonstrating the effectiveness of the thermosyphon system. In addition, the final fumigation was held until the phosphine concentration dropped to 200 ppm. The silo reached 200 ppm only four days after fumigation, reached a maximum of approximately 600 ppm after 30 days, and did not fall below 200 ppm until 106 days after fumigation. Linear air velocity in the was also measured in the thermosyphon pipe and showed that airflow could reach as high as 2.7 m/s, but flow was sporadic and not consistent, most likely due to pressure build up on the headspace of the silo due to resistance to airflow by the bulk grain body. Temperature and humidity results indicated that while both parameters are fundamental in the production of phosphine from aluminium phosphide tablets, they work against each other. This provides an effective control mechanism that prevents the rapid production of phosphine, thereby reducing the buildup of phosphine and reducing the risk of an explosion.

The Role of Management Control System in Mitigating Corruption: The Levers of Control Perspective

A Management Control System (MCS) is a comprehensive mechanism organizations can use to ensure that their strategies and plans are effectively implemented to achieve their objectives. This concept paper explores the application of Management Control Systems (MCS), specifically concerning levers of control (LOC), for behavioral control. Based on the comprehensive literature review, it is expected that LOC will be able to provide a pathway to mitigate corruption not only from the perspective of fraud diamond theory but also from the perspective of agency theory. Agency theory highlights the inherent conflict of interest between agents, who have more information about their actions and intentions, and principals, who rely on agents to act in their best interest. This information asymmetry creates opportunities for agents to engage in corrupt practices, such as embezzlement, bribery, or fraud, including unethical behavior that may undermine organizational goals and trust. Effective control mechanisms are essential to mitigate these risks and ensure alignment between agents' actions and principals' objectives. Furthermore, organizations can apply the principles of fraud diamond theory when creating an effective control framework to deter corruption.

Pendidikan Kewarganegaraan Berbasis Adat: Studi Kasus Masyarakat Kampung Naga

In the era of globalization, indigenous communities are increasingly at risk of losing their identity and traditional values. Kampung Naga, one of the oldest traditional villages in Indonesia, has a complex social and cultural system. This study aims to deeply examine the role of traditional institutions in shaping and instilling civic values in the indigenous community of Kampung Naga. Through a qualitative case study method, this research analyzes the structure of traditional institutions, decision-making mechanisms, and customary practices related to citizenship. The results of the study show that traditional institutions have a central role in preserving the values of mutual cooperation, consensus-based decision-making, and respect for nature. Customary practices such as traditional ceremonies, village meetings, and social sanctions serve as effective social control mechanisms in shaping the character of good citizens. This study concludes that the traditional institutions of Kampung Naga can serve as a model for the development of character education and citizenship rooted in local values.

Nitrate assimilation compensates for cell wall biosynthesis in the absence of Aspergillus fumigatus phosphoglucose isomerase.

Phosphoglucose isomerase (PGI) links glycolysis, the pentose phosphate pathway (PPP), and the synthesis of cell wall precursors in fungi by facilitating the reversible conversion between glucose-6-phosphate (Glc6p) and fructose-6-phosphate (Fru6P). In a previous study, we established the essential role of PGI in cell wall biosynthesis in the opportunistic human fungal pathogen Aspergillus fumigatus, highlighting its potential as a therapeutic target. In this study, we conducted transcriptomic analysis and discovered that the Δpgi mutant exhibited enhanced glycolysis, reduced PPP, and an upregulation of cell wall precursor biosynthesis pathways. Phenotypic analysis revealed defective protein N-glycosylation in the mutant, notably the absence of glycosylated virulence factors DPP V and catalase 1. Interestingly, the cell wall defects in the mutant were not accompanied by activation of the MpkA-dependent cell wall integrity (CWI) signaling pathway. Instead, nitrate assimilation was activated in the Δpgi mutant, stimulating glutamine synthesis and providing amino donors for chitin precursor biosynthesis. Blocking the nitrate assimilation pathway severely impaired the growth of the Δpgi mutant, highlighting the crucial role of nitrate assimilation in rescuing cell wall defects. This study unveils the connection between nitrogen assimilation and cell wall compensation in A. fumigatus.IMPORTANCEAspergillus fumigatus is a common and serious human fungal pathogen that causes a variety of diseases. Given the limited availability of antifungal drugs and increasing drug resistance, it is imperative to understand the fungus' survival mechanisms for effective control of fungal infections. Our previous study highlighted the essential role of A. fumigatus PGI in maintaining cell wall integrity, phosphate sugar homeostasis, and virulence. The present study further illuminates the involvement of PGI in protein N-glycosylation. Furthermore, this research reveals that the nitrogen assimilation pathway, rather than the canonical MpkA-dependent CWI pathway, compensates for cell wall deficiencies in the mutant. These findings offer valuable insights into a novel adaptation mechanism of A. fumigatus to address cell wall defects, which could hold promise for the treatment of infections.

Enhancing internet of things security using entropy-informed RF-DNA fingerprint learning from Gabor-based images

Internet of Things (IoT) deployments are anticipated to reach 29.42 billion by the end of 2030 at an average growth rate of 16% over the next 6 years. These deployments represent an overall growth of 201.4% in operational IoT devices from 2020 to 2030. This growth is alarming because IoT devices have permeated all aspects of our daily lives, and most lack adequate security. IoT-connected systems and infrastructures can be secured using device identification and authentication, two effective identity-based access control mechanisms. Physical Layer Security (PLS) is an alternative or augmentation to cryptographic and other higher-layer security schemes often used for device identification and authentication. PLS does not compromise spectral and energy efficiency or reduce throughput. Specific Emitter Identification (SEI) is a PLS scheme capable of uniquely identifying senders by passively learning emitter-specific features unintentionally imparted on the signals during their formation and transmission by the sender’s radio frequency (RF) front end. This work focuses on image-based SEI because it produces deep learning (DL) models that are less sensitive to external factors and better generalize to different operating conditions. More specifically, this work focuses on reducing the computational cost and memory requirements of image-based SEI with little to no reduction in performance by selecting the most informative portions of each image using entropy. These image portions or tiles reduce memory storage requirements by 92.8% and the DL training time by 81% while achieving an average percent correct classification performance of 91% and higher for SNR values of 15 dB and higher with individual emitter performance no lower than 87.7% at the same SNR. Compared with another state-of-the-art time-frequency (TF)-based SEI approach, our approach results in superior performance for all investigated signal-to-noise ratio conditions, the largest improvement being 21.7% at 9 dB and requires 43% less data.

RESOURCE COMMITMENT AND PARTNER SELECTION IN ASYMMETRIC CORPORATE-STARTUP COLLABORATIONS

Startups and established firms collaborate in order to leverage complementary resources and innovative capabilities to sustain a competitive advantage. By forming alliances, startups are able to mitigate challenges connected to their smallness and lack of legitimacy. However, the underlying criteria by which startups screen and select potential collaboration partners in such asymmetric collaborations remain poorly understood. This paper examines the dynamics of these asymmetric collaborations, exploring the motives, selection criteria, and the willingness of startups to partner from a resource-based perspective. We conduct a conjoint experiment to examine the relationship between diverse resource commitment types and startups’ willingness to partner. The findings of the study confirm a strong influence of financial, technological, managerial, and physical resources in a startup’s decision-making process regarding partner selection. Notably, the attractiveness of a partner was found to diminish when they possess a similar market portfolio, potentially fostering future competition. Consequently, startups must implement effective control and protection mechanisms to prevent opportunistic behaviours from collaboration partners operating in the same market. To contribute to the existing literature, we adopt a resource-based theoretical lens that emphasises the pivotal role of capabilities in a startup’s decision-making process and demonstrates their influential role in forging successful collaborations with established partners. Ultimately, our findings enhance the understanding of the partner selection criteria, offering valuable insights for new ventures seeking beneficial partnerships at the early stages of a collaboration.

Empowering Bangladesh: A Study on Synergizing Renewable Energy and Smart Grid Technologies for Sustainable Development

This paper shows a study of the Smart Grid in Bangladesh, emphasizing the incorporation of renewable energy sources. Its aim is to provide an overview of global renewable energy demand and highlight the significance of a smart grid system in fostering sustainability and dropping CO2 emissions.The total renewable energy generation of Bangladesh stood at a meager 1.34% in 2009, representing its low comparative position with other nations. Unfortunately, there has been a little improvement over time, as the total renewable energy generation was 1.51% in 2014 and only slightly increased to 1.57% by 2019. To overcome the addressed issue, it requires massive potential of renewable energy sources to ensure a lucrative, secure, and high-quality supply. This can be achieved through effective monitoring and control mechanisms within the grid system.The integration of cutting-edge technologies such as bi-directional current flow, bi-directional communication systems, automatic working capacity, automatic control systems, and rear systems are required if the upgradation of the current power structure is needed. These advancements will contribute to the enhanced performance, reliability, and security of the renewable energy infrastructure. By embracing a smart grid system and optimizing the integration of renewable energy, Bangladesh can pave the way towards a sustainable future. This will not only boost the country's renewable energy generation but also play a vital role in mitigating CO2 emissions. IUBAT Review—A Multidisciplinary Academic Journal, 7(1): 26-44

OWNERSHIP STRUCTURE, FINANCIAL REPORTING QUALITY AND THE ROLE OF AUDIT QUALITY: AN EMPIRICAL STUDY IN VIETNAM

The issues of ownership structure, audit quality, earnings management, and financial reporting quality have garnered increased attention from the public, professionals, and other stakeholders, especially following numerous corporate scandals in Vietnam. Ownership structure is crucial in enhancing financial reporting quality (FRQ) by serving as an effective internal control mechanism. This study explores how different types of ownership affect FRQ and the role of audit quality. Previous literature has investigated the relationships between ownership types, audit quality, and FRQ. This study aims to integrate these variables into a comprehensive model that describes the impact of ownership structure within a company and audit quality on FRQ. The relationships tested include: ownership structure and FRQ, the mediating effect of audit quality on these relationships, and audit quality and FRQ. Analyzing panel data from 112 Vietnamese listed firms on the Ho Chi Minh City Stock Exchange from 2011-2021, the results revealed that directors' and family ownership positively affect FRQ by reducing earnings management, while institutional ownership negatively influences FRQ. Managerial ownership was found to have an insignificant impact on FRQ. Audit quality partially mediates these relationships and has a significantly positive impact on FRQ, suggesting that high audit quality deters earnings management. This study recommends enhancing the supervisory and monitoring role of institutional ownership in financial statement preparation.