Management Methods Research Articles

Geographically corrected clustering applied to establish medical service areas

Abstract. In the current paper, we discover a case study of medical service areas zoning automation needed to ensure effective operation of phthisiatric service. The study was conducted for the administrative area of Saint Petersburg city (Russia). Originally, the process of phthisiatric service areas zoning bases upon outdated interpretation of medical maintenance of territories, and assumes splitting of living buildings list compiled for some administrative territory. This leads to appearing of different zoning features (service area geometry and topology, workload imbalance, etc.), which impact the quality and effectiveness of medical service. No unified and(or) open source tools for geographically corrected (in the meaning of accounting of the different spatial factors and variables) medical service areas zoning are available now. Our study is focussed onto closing of this lack basing on geospatial techniques and data management methods. To ensure the automated phthisiological medical service areas zoning we elaborated and tested a set of scripts available to be running in QGIS. Elaborated methodology was documented and considered as a possible for implementation into technological chain of Saint Petersburg phthisiatric service.

The management methods in the sphere of state security in conditions of social transformation

The article is dedicated to the investigation of management methods in the field of state security during periods of social transformation. It addresses the importance of adapting governance strategies to contemporary challenges, especially in the context of Ukraine’s ongoing crisis and global instability. Emphasis is placed on the development of comprehensive management approaches that not only react to current threats but also anticipate future challenges. The relevance of the study is underlined by the need for strategic planning and proactive implementation of policies to safeguard national interests and ensure long-term stability. The article emphasizes the necessity of effective cooperation between public administration entities to guarantee the resilience of the national security system. The author notes that the success of state security management heavily depends on the integration of political, legal, and organizational mechanisms. The focus is on how these mechanisms contribute to the implementation of Ukraine’s National Security Strategy, aiming to protect the country’s territorial integrity and facilitate its European integration efforts. Special attention is given to the reform of public administration, stressing the importance of transparency and professionalism in law enforcement and strategic management. The author indicates that effective governance in the security sector requires enhanced coordination among various governmental bodies. The importance of information exchange, joint training, and the development of new technological solutions is highlighted as key methods for addressing modern security threats such as terrorism, cyberattacks, and organized crime. The study also points out the need for continuous professional development and reform in public administration to ensure that national security objectives are met in a timely and effective manner. Particular attention is paid to the interaction between different state institutions and the importance of coordinated efforts to respond to security threats. The article underscores the need for a dynamic and adaptable governance system, one that can respond swiftly to both domestic and international challenges. This includes the development of innovative approaches to governance, strategic planning, and the use of cutting-edge technologies. Ultimately, the study calls for the continuous improvement of public administration in the security sector, to build a sustainable and secure future for Ukraine.

Antibody Aggregation: A Problem Within the Biopharmaceutical Industry and Its Role in AL Amyloidosis Disease.

Due to the large size and rapid growth of the global therapeutic antibody market, there is major interest in understanding the aggregation of protein products as it can compromise efficacy, concentration, and safety. Various production and storage conditions have been identified as capable of inducing aggregation of polyclonal and monoclonal antibody (mAb) therapies such as low pH, freezing, light exposure, lyophilisation and increased ionic strength. The addition of stabilising excipients to these therapeutics helps to combat the formation of aggregates with future aggregation inhibition mechanisms involving the introduction of point mutations and glycoengineering within aggregation prone regions (APRs). Antibody aggregation also plays an integral role in the pathogenesis of a condition known as amyloid light chain (AL) amyloidosis which is characterised by the production of improperly folded and amyloidogenic immunoglobulin light chains (LCs). Current diagnostic tools rely heavily on histological staining with their future moving towards amyloid component identification and proteomic analysis. For many years, treatment options designed for multiple myeloma (MM) have been applied to AL amyloidosis patients by depleting plasma cell numbers. More recently, treatment strategies more specific to this condition have been developed with many designed to recognize amyloid fibrils and trigger their degradation without causing systemic plasma cell cytotoxicity. Amyloid fibrils in AL disease and aggregates in antibody therapeutics are both formed through the oligomerisation of misfolded / modified proteins attempting to reach a thermodynamically stable, free energy minimum that is lower than the respective monomers themselves. Although the final morphologies are different, by understanding the principles underlying such aggregation, we expect to find common insights that may contribute to the development of new and effective methods of antibody aggregation and/or amyloidosis management. We envision that this area of research will continue to be very relevant in both industry and clinical settings.

Effect of Methods of Establishment and Zinc Management on Growth and Yield of Rice (Oryza sativa L.)

The field experiment was conducted at Shradhay Bhagwati Singh Agriculture Research Farm (Hajipur), Chandra Bhanu Gupta Krishi Snatkottar Mahavidyalaya, B.K.T., Lucknow (Uttar Pradesh) during Kharif (rainy) season in 2023-24. The treatment consisted of three methods of establishment (M1 – Direct seeding in lines after pre-irrigation, M2 -Broadcast of sprouted seed on puddled soil , M3 – System of Rice intensification (SRI) of (25 x 25cm) 12 days old seedling.) and five Zinc management practices (Zn0- Without zinc (control), Zn1- Zinc Sulphate ZnSo4@20kg ha-1 (Basal), Zn2- Foliar spray of Zn@0.5% at tillering and panicle initiation stage, Zn3- Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and Panicle stage, Zn4- Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage) were tested in split-plot design with 3 replications. The Experimental site was silty loam having medium organic carbon (0.70%) and available nitrogen (270 kg ha-1), phosphorous (27 kg ha-1) and Potassium (262 kg ha1). All the growth parameters, yield attributes, yield, Zinc content and uptake of Zn into grains and straw, were increased significantly with SRI method (M3) followed by direct seeding in Lines after pre-irrigation (M2). Amongst zinc management, all the growth parameters and yield attributes of rice were maximum under Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and panicle initiation stage, followed by Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage the maximum gross income of Rs 158938.18 ha-1 was accrued with (SRI method + T4) treatment combination. However, a combination of SRI method along with T3 treatment accrued the maximum net profit of Rs 107981.21 ha-1 and benefit: cost ratio of 2.08 which was followed by a combination of SRI method along with T4 with net income of Rs 107234.99 ha-1 and benefit cost ratio of 2.07.

Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management

This review examines the integration of remote sensing technologies and machine learning models for efficient monitoring and management of lake water quality. It critically evaluates the performance of various satellite platforms, including Landsat, Sentinel-2, MODIS, RapidEye, and Hyperion, in assessing key water quality parameters including chlorophyll-a (Chl-a), turbidity, and colored dissolved organic matter (CDOM). This review highlights the specific advantages of each satellite platform, considering factors like spatial and temporal resolution, spectral coverage, and the suitability of these platforms for different lake sizes and characteristics. In addition to remote sensing platforms, this paper explores the application of a wide range of machine learning models, from traditional linear and tree-based methods to more advanced deep learning techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). These models are analyzed for their ability to handle the complexities inherent in remote sensing data, including high dimensionality, non-linear relationships, and the integration of multispectral and hyperspectral data. This review also discusses the effectiveness of these models in predicting various water quality parameters, offering insights into the most appropriate model–satellite combinations for different monitoring scenarios. Moreover, this paper identifies and discusses the key challenges associated with data quality, model interpretability, and integrating remote sensing imagery with machine learning models. It emphasizes the need for advancements in data fusion techniques, improved model generalizability, and the developing robust frameworks for integrating multi-source data. This review concludes by offering targeted recommendations for future research, highlighting the potential of interdisciplinary collaborations to enhance the application of these technologies in sustainable lake water quality management.

Comparative Life Cycle Assessment of Landfilling with Sustainable Waste Management Methods for Municipal Solid Wastes

Municipal solid waste (MSW) generation continues to increase exponentially, leading to the need for better disposal methods. Approximately 50% of the MSW is landfilled in the United States (US). Landfilling is known for its negative effects on the environment and human health. The objective of this study was to conduct a life cycle assessment (LCA) of some of the most common waste treatment methods and propose an alternative and environmentally friendly integrated waste management method (IWM). The LCA was conducted using OpenLCA. Replacing landfilling, incineration, and composting with recycling, gasification, and anaerobic digestion (IWM) reduced the global warming potential from 899 kg CO2 eq to −14.6 kg CO2 eq. The same trend was observed for acidification (from 0.21 kg SO2 eq to −1.1 kg SO2 eq), ecotoxicity (from 2363.8 CTUe to 1.22 CTUe), eutrophication (from 0.5 kg N eq to 0.3 kg N eq), smog formation (from 4.4 kg O3 eq to 1.85 kg O3 eq), ozone depletion (from 2.1 × 10−5 kg CFC-11 eq to 0 kg CFC-11 eq), respiratory effects (from 2.8 × 10−3 kg PM2.5 eq to −7.25 × 10−3 kg PM2.5 eq), cancer (from 2 × 10−5 CTUh to 1.2 × 10−7 CTUh), and non-cancer effects (from 6 × 10−5 to 1.4 × 10−5 CTUh). The results show that an integrated waste management approach with recycling, gasification, and anaerobic digestion can dramatically reduce the environmental and health impacts of municipal solid waste disposal. Policy reforms, technical innovation, economic investment, and social engagement are needed to change waste management paradigm.

The French customs authority system is an example of effective combatance against customs offenses for Ukraine

The article analyzes the structure and functioning of French customs authorities, emphasizing their role in combating offenses in the customs sphere and the possibility of adapting their experience for Ukraine. The French customs service consists of several units responsible for various aspects of customs control, from intelligence to investigations and technical support. Special attention is paid to the use of innovative technologies, such as risk analysis systems and «smart borders», which significantly increase the efficiency of customs operations. These technologies allow accurate control of goods, vehicles and passengers, which ensures prevention of customs offenses. The results show that the structure of the French customs authorities, divided into specialized directorates (intelligence, operations, investigations and technical support), significantly contributes to the prevention of fraud, illegal trade and security threats. Active use of risk analysis systems and cooperation with international organizations helps France manage cross-border risks and ensure compliance with European standards. The French model offers a valuable plan for the modernization of the customs service of Ukraine and its integration into European and world standards. On the basis of the analysis of the experience of France, conclusions were drawn regarding the possible directions of development of the Ukrainian customs service, in particular through the introduction of modern technologies, automation of processes and strengthening of international cooperation. The integration of advanced risk management methods and automated control systems will allow Ukraine to improve the transparency, security and efficiency of customs operations, reducing the number of offenses and corruption.

Predicting Bank Nifty Movements Based on ICICI, HDFC, and Axis Bank Returns

This study investigates the link between the returns of ICICI Bank, HDFC Bank, and Axis Bank and the overall performance of the Bank Nifty index, which is a crucial measure of the Indian banking sector's health on the National Stock Exchange. Using five years of historical data, regression analysis and descriptive statistics evaluate trends, correlations, and prediction accuracy in anticipating Bank Nifty returns based on the performance of these large banks. The study finds that while Bank Nifty displays stability as it aggregates multiple bank stocks, individual banks like Axis Bank and HDFC exhibit distinct volatility patterns, with Axis Bank showing significant fluctuations due to firm-specific and external factors.Regression results show a little association between individual bank returns and the Bank Nifty, indicating that the index has limited predictive value for single equities. Nonetheless, knowing these patterns may help investors manage risk, anticipate market changes, and develop portfolio diversification methods. The findings emphasize the relevance of sector-specific patterns, implying that although Bank Nifty captures broad market movements, other elements have a distinct influence on each bank's performance, providing insights for more sophisticated investment and risk management methods.

Matching Analysis of Technical Parameters and Safety Standards for Nuclear Replacement of Coal-Fired Units

In the context of the growing share of renewable energy and the impending decommission of a large number of coal-fired units, nuclear energy is the only green energy that can replace coal power for a stable, clean, efficient, and large-scale power supply. This article compares the differences between coal power and nuclear power in terms of thermal system, thermal cycle, turbine parameters, and safety. It discusses the possibility of replacing the boiler of a coal power plant with nuclear power, that is, replacing the boiler of a coal power plant with a nuclear reactor for generation/heating/cogeneration. For coal-fired units with similar capacity that do not use a reheat cycle (at or below high pressure) and nuclear power units (such as a high-temperature gas-cooled reactor), as well as coal-fired units with a reheat cycle (ultra-high pressure and above) and nuclear power units (such as pressurized water reactors), there are great differences in steam parameters. In terms of steam turbines, the size of nuclear power units is relatively larger, requiring additional dehumidification measures. In addition, the safety factors and management methods considered in the site selection, construction, and operation of nuclear power plants are more stringent and complex, and comprehensive analysis and evaluation are needed in aspects such as waste treatment and accident emergency response. Except for the relevant provisions of the American Society of Mechanical Engineers code for pressure vessels, nuclear power units are not compatible with coal-fired units in terms of safety standards. Therefore, considering comprehensively, it is believed that the scheme of nuclear power replacing coal-fired units for power generation/heating/cogeneration program is not feasible at present.

Privacy-enhanced distributed revocable identity management scheme based self-sovereign identity

In recent years, the rapid proliferation of digital services and resources on Industrial Internet has imposed higher demands on universality and privacy of identity management. Particularly with the advent of the digital economy, prudent users are urged to maintain control over their digital identity credentials. However, traditional identity management methods have failed to meet this requirement and thus have been prone to raise users' concerns about potential financial loss. Specifically, conventional identity management systems(IDMS) have been plagued by imperceptible privacy disclosure, which derives from the flaws in single points of failure, excessive disclosure, correlation analysis, traceability, and revocation. The emerging Self-Sovereign Identity (SSI) architecture aims to tackle these issues and is propelling the evolution of privacy-enhanced distributed identity management. To this end, we proposed a privacy-enhanced distributed identity management scheme with sequential aggregate issuance, threshold traceability and revocability in the setting of multiple credential issuers and regulators. We adopted the Decentralized identifiers(DIDs) and verifiable credentials(VCs) based on the SSI architecture to ensure the hierarchical identity authentication. The security and performance analysis shows that our proposal achieves the desired design goals and is feasible for distributed Industrial Internet.

Comprehensive overview of host plant resistance and its progress in wilt resistance in castor bean (Ricinus communis L.)

Castor bean, a non-edible monotypic species known for its unique hydroxy fatty acid, is susceptible to a range of pathogens. Wilt caused by Fusarium oxysporum f. sp. ricini is the most complex and destructive disease. Chemical control of wilt has proven ineffective due to the systemic nature of the disease and the seed and soil borne nature of the pathogen. Physical, chemical, biological, and integrated management methods have shown only limited success in controlling wilt. Host plant resistance, however, stands out as the most promising strategy, offering a viable pathway for the genetic improvement of castor beans for wilt resistance. Screening techniques are well established, and several resistant donors have already been identified. While significant progress has been made in understanding the inheritance of wilt resistance, a complete understanding of its genetic mechanisms still requires further research. Single Nucleotide Polymorphism (SNP) markers and genomic regions linked to wilt resistance have been successfully identified. Reniform nematode (Rotylenchulus reniformis) has been identified as a predisposing factor for wilt, and genomic regions linked to nematode resistance have also been identified. However, Marker-assisted selection has not yet been utilized to develop wilt-resistant castor varieties. Further research is required to explore the pathogen diversity, host-pathogen interactions, and mechanisms underlying wilt resistance including the metabolites responsible for preventing the emergence of new pathogenic races and ensuring long-term protection against wilt.

TECHNOLOGICAL COMPLICATIONS (FORMATION DAMAGE) DURING CO2 INJECTION FOR ENHANCED OIL RECOVERY. PART 3. PREVENTING AND REPAIRING FORMATION DAMAGE CAUSED BY CO2 INJECTION

The article considers technological complications arising during CO2 injection for enhanced oil recovery, with a focus on the formation of asphaltenes in the pore space and their negative impact on production efficiency. Formation of asphaltene solids in the reservoir leads to an increase in the skin factor, their removal to the wells, accumulation in the wellbore and on the surface of the equipment, which reduces oil flow to the well and requires expensive remedial work. Methods of identification and monitoring of asphaltene deposits are considered. Results of laboratory studies confirming the difficulty of quantitative assessment of asphaltene deposition are given, as well as practical examples of application of various technologies for their prevention and removal. Methods including the use of inhibitors and dispersants and the use of aromatic solvents to restore reservoir properties are reviewed. It also emphasises the need for continuous monitoring of field operations and the development of effective asphaltene management methods, which is critical to improving the economic feasibility of CO2 injection projects.

Analysis and optimization of the efficient press shop operation

Abstract. In the last decade, stamping and forming manufacturing methods have been widely used in the manufacturing industry, and the stamping and forming industry has gradually shifted from the competition of scale and quantity to the competition of high quality, cost-effectiveness, and multi-category. Therefore, it is of far-reaching significance to study the efficient operation method of the press shop. In this paper, the efficient operation modeling method, digital simulation platform, and production line improvement of the press shop are reviewed. According to analysis, it can be concluded that the dynamic data-driven modeling method is perfect, but the theoretical basis involved in the practical application process is too complicated, therefore, press shop managers may be required to have a certain degree of theoretical basis so that the method can be effectively realized. Besides, the virtual-real combination of digital simulation platforms is easy to operate in the press shop, but the model assumptions analyzed in this paper are too idealized, and potential unresolved problems may arise in the practical application of the press shop with a larger scope and wider coverage. Finally, the production-based transformation of the shop floor production line is a more suitable management method for older factories that are ready for upgrading.

Is Endoscopic Resection Essential for Patients with Type 1 Gastric Neuroendocrine Tumor?

Background: The gastric neuroendocrine tumor (g-NET) is now more frequently diagnosed due to the widespread use and advancement of endoscopy. In our study, we aimed to discuss the superiority, if any, between the watch-and-wait approach and endoscopic treatment methods for the controversial management of type 1 g-NETs, as well as to evaluate their long-term outcomes. Materials and Methods: The data of 81 patients who underwent gastroscopy due to complaints related to the upper gastrointestinal system and were diagnosed with type 1 g-NET as a result of biopsy taken from suspicious stomach lesions were examined. After exclusion criteria, 48 patients were included in the study. Patients were categorized into two groups: the watch-and-wait group, where no invasive procedure was performed, and the group that underwent any form of endoscopic resection. Results: Thirty-seven patients were followed up regularly without any treatment. Eleven patients were followed up after endoscopic resection (endoscopic submucosal dissection-endoscopic mucosal resection). Endoscopic resection was performed in 5 of 37 patients with tumor size <10 mm and in 6 of 11 patients with tumor size between 10 and 20 mm. The median follow-up duration for all patients was 5 years, during which no instances of metastasis, tumor progression, or mortality were observed in any patient, regardless of whether they underwent endoscopic resection or not. Conclusion: This outcome prompts a questioning of the necessity for invasive treatment methods such as endoscopic resection, which comes with a relatively high cost and the potential for complications, in this particular patient group.

THE EFFECT OF STRATEGIC HUMAN RESOURCE MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE WITH THE MEDIATING ROLE OF INNOVATION (CASE STUDY: MIANDOAB CITY EDUCATION DEPARTMENT)

This study aimed to explore the effect of strategic human resource management practices on organizational performance with the mediating role of organizational innovation in the Miandoab City education department. This research is practical, in terms of purpose, and among descriptive studies in terms of data collection method. The statistical population of the research was all the experts of the Miandoab city education department, who were selected by simple random sampling method number of 218 people. To collect data, three questionnaires on strategic human resource management by Chen and Hong (2009), organizational performance by Ahmadi (2012), and organizational innovation by Shoham et al., (2012) were used. The validity of the questions was confirmed using confirmatory factor analysis, and the results showed that strategic human resource management has a significant effect on organizational performance with a factor of 44%, and on organizational innovation with a factor of 76%. Organizational innovation significantly affects organizational performance with a factor of 59%. The results also confirmed the mediating role of organizational innovation in the research community. The study emphasizes the necessity of paying more attention to the strategic methods of human resource management and strengthening innovation to cope with scientific and technological advances.

Recent Progress on Air, Liquid, PCM, Heat Pipe, and Hybrid Modes of Thermal Management in Lithium-Ion Batteries

This study emphasises lithium-ion batteries, which have been the subject of extensive research due to their wide range of benefits, including extended life cycle, minimal discharge, and high energy density. However, the temperature sensitivity of the batteries presents a notable obstacle that can negatively impact their performance and longevity when operating under extreme conditions. To overcome this challenge, implementing an effective battery thermal management system (BTMS) is imperative. Battery thermal management is crucial for ensuring the safety and longevity of lithium-ion batteries, especially in high-demand applications like electric vehicles. This comprehensive review explores a variety of BTMS technologies, including air-cooling methods, liquid-cooling techniques, heat pipes, and PCM materials. While air-cooled BTMS is a safe and straightforward design, its lower heat capacity and thermal efficiency limit its use to low-capacity batteries. However, forced air-cooled BTMS is an excellent solution for high charging/discharging rates, as air flows through channels within the battery packs to optimize cooling. Liquid-cooled BTMS also shows promise, although designers must ensure the sealing cover is secure to prevent leaks. Heat pipes (HP) offer a unique approach to controlling battery temperature, while Phase change materials (PCM) thermal management is notable for its ability to absorb significant heat by latent heat. Hybrid cooling combines fins, nanofluids, PCM, and microchannels-based cooling and can significantly enhance battery performance under high charging/discharging rates. Furthermore, lithium-ion batteries are extensively used in various applications, including the Electric vehicle industry. Keeping the lithium-ion battery temperature within the optimal range is important and is accomplished by a suitable BTMS. Different methods, such as air cooling, Liquid cooling, Heat pipe, and PCM materials, are used in BTMS. An effective thermal management system and efficient battery model are absolutely necessary. Each of the techniques in BTMS has its own benefits and drawbacks. The effectiveness of thermal management configurations and methods can vary. Thus, evaluating performance and optimal configuration is crucial before implementation.

Effects of Procedural Information, Buzzy, and Multiple Interventions on Pain in Children Undergoing Venipuncture: A Randomized Controlled Trial.

Needle-related procedures are commonly performed in childhood and lead to considerable pain. This randomized controlled study was conducted to compare the effects on venipuncture pain of the Buzzy, an informational animated video, multiple interventions, and standard care in children aged 6-12 years. One hundred eighty children were assigned to the groups using a computerized randomization program. Pain level was evaluated by the children, parents, and their nurses using the Wong-Baker Faces Pain Scale. The level of agreement among the nurse, parents, and children's pain reports was evaluated. Multivariable regression analysis was performed to identify the factors significantly associated with pain score. The participants in the Buzzy, video watching, and multiple intervention groups reported lower mean pain scores (child: KW = 28.24, p < .001; parent: KW = 18.51, p < .001; nurse: KW = 44.4, p < .001) than their peers in the control group. Moreover, age was identified as a risk factor affecting pain level (OR = 1.375, 95% CI [1.086, 1.740]; p = .008). Buzzy and informational videos are potentially effective methods to facilitate venipuncture-related pain management in children. The use of pain management methods during venipuncture is recommended, especially in children younger than 10 years old.

Optimizing Agility in the Pharmaceutical Supply Chain Using Digital Twins to Cope with the Ripple Effect

The pharmaceutical supply chain is a multilayered and complex structure designed to deliver medicines to customers in a timely manner while ensuring optimal quality and quantity of medicines. The COVID-19 outbreak exposed the vulnerability and uncertainty of the pharmaceutical supply chain, so managing the risks in the pharmaceutical supply chain has become particularly important. This study demonstrates that digital twin (DT) technology can improve pharmaceutical supply chain agility and reduce the ripple effect caused by disruptions. The ripple effect refers to the effect that a sudden disruption at one node in the supply chain has on causing a chain reaction in the rest of the supply chain. The most used risk management method today is the Enterprise Resource Planning (ERP) system, which allows for real-time data sharing but has limitations in predicting and modeling the entire supply chain and lacks the ability to make quick decisions and simulate the entire supply chain. DT technology creates a virtual model of the supply chain, which enables continuous communication and information exchange between real assets and the virtual model, offering a promising alternative to risk management for pharmaceutical supply chains. risk management by providing a promising alternative. This study utilizes the AnyLogistix platform to construct a DT model and demonstrates the effectiveness of DT technology in reducing ripple effects and improving supply chain agility using quantitative analysis. This paper focuses on analyzing the pharmaceutical supply chain for 75mg aspirin tablets in London. A supply chain that operates normally, a supply chain that introduces a disruptive event (closure of the logistics center due to an earthquake), and a supply chain that applies a proactive strategy (activation of an alternate logistics center) to mitigate risk are simulated separately. The positive impact of DT technology on the supply chain is evaluated by analyzing the methods of key performance indicators (KPIs) such as inventory level, order fulfillment rate, and delivery time. The experimental results show that DT technology enhances the responsiveness, flexibility, speed, and proactivity of the supply chain, which significantly improves the agility of the supply chain. Proactive and effective strategies also reduce the financial impact of disruptions and service levels are quickly recovered. In addition, the proactive strategy stabilized inventory levels and reduced delayed orders. The above key metrics confirm the hypothesis that DT technology can improve supply chain agility and effectively reduce the ripple effect. Despite the significant conclusions drawn in this paper, there are some limitations. Firstly, sensitivity analysis and t-test were not used in the study for secondary testing, which resulted in the lack of reliability of the validation results. In addition, the possible interaction between the ripple effect and the bullwhip effect was not discussed, leading to a confounding factor in the experimental results. The above issues can be considered in further research in the future. Finally, this paper explores the possibilities and uses of introducing machine learning techniques and considers the supply chain risk factors of globalization. In summary, this study validates the potential of digital twin technology in improving agility and coping with ripple effects in pharmaceutical supply chains. As research continues, DT technology is expected to improve supply chain efficiency and reduce supply chain risk while ensuring patient safety.

Cervical clamping: An innovative adjunct for management of postpartum haemorrhage

Postpartum haemorrhage (PPH) is a leading cause of maternal morbidity and mortality worldwide. Traditional methods for acute management, such as uterotonics, uterine massage, and surgical interventions, may prove insufficient, prompting the search for alternative techniques. This article reviews the innovative use of cervical clamping as an adjunct to the critical first line care of patients with PPH, evaluating its efficacy, safety, and potential future implications1. The review highlights how mechanical pressure to the cervix may facilitate innate physiological reflexes to improve uterine contraction, promising a noninvasive alternative to control severe obstetric bleeding. The findings suggest that cervical clamping could be particularly beneficial in resource-limited settings where pharmacological and advanced surgical options are not readily available2.

Data Mining Methods in Educational Process Management

The paper addresses the challenge of effectively managing the educational process by leveraging intelligent data analysis of student performance during learning activities. It introduces an approach centered around data clustering, specifically applied to the study of programming disciplines and languages. By utilizing clustering techniques, the paper aims to identify the most challenging topics within a given academic subject, track students’ learning paths, evaluate and enhance teaching methodologies, and create personalized learning plans tailored to individual students’ needs. This approach enables educators to better understand and address the diverse learning requirements of students, ultimately enhancing the overall educational experience.