Modern Management Research Articles

Management of Vulvovaginal Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis.

Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) is an autoimmune process resulting in painful epidermal sloughing that can involve the vulva and vagina. Current guideline recommendations are based on expert opinion and may not reflect modern management of SJS/TEN in burn centers. We performed a retrospective chart review of 34 female patients treated for SJS/TEN at our burn center from 2015 to 2023. Cases frequently involved the vulva (83.3%) and vagina (56.0%), though pelvic examination often was limited. For eight patients with confirmed vulvovaginal lesions, there were no direct sequelae of SJS/TEN requiring intervention. In the modern era of SJS/TEN management in burn centers, interventions such as steroids may not be needed.

Editorial: Modern management of ruptured abdominal aortic aneurysm

Editorial: Modern management of ruptured abdominal aortic aneurysm

Unveiling Ancient Wisdom: The Bhagavad Gita’s Influence on Modern Management and Leadership

The Bhagavad Gita offers deep insights into human behaviour, ethics, and leadership, promoting principles such as selfawareness, ethical decision-making, resilience, and the pursuit of excellence. Objectives: This paper aims to synthesize spiritual principles from the Bhagavad Gita with practical management strategies to inspire leaders to cultivate a deeper understanding of themselves, their teams, and their organizations, fostering a culture of purpose, integrity, and holistic growth. Methodology: A qualitative approach is used, analyzing the Bhagavad Gita’s teachings through the lens of contemporary management theories, involving a literature review and thematic analysis. Findings: Key themes from the Bhagavad Gita applicable to modern leadership include self-awareness, ethical decision-making, resilience, and the pursuit of excellence. Results: Integrating these principles into management practices enhances leadership effectiveness, improves team dynamics, and fosters a cohesive organizational culture, inspiring trust and driving sustainable success. Social Implications: Incorporating the wisdom of the Bhagavad Gita can create workplaces that prioritize well-being, ethical conduct, and personal growth, transforming organizational environments to be more inclusive and purposedriven. Conclusion: The Bhagavad Gita offers timeless principles that, when combined with modern management practices, can enhance leadership effectiveness, providing a framework for navigating the ever-changing business landscape with authenticity, integrity, and purpose.

SCARCE RESOURCES, GREAT CHALLENGE: CENTRAL ASIA'S WATER CRISIS AND ENVIRONMENTAL SUSTAINABILITY

Central Asia has limited water resources and increasing pressure on these resources. Large-scale irrigation projects initiated during the Soviet Union led to the over-exploitation of the Amu Darya and Sir Darya rivers and the dramatic drying up of Lake Aral. This process has caused extensive damage to the ecosystem, declines in agricultural productivity and serious problems in human health. The article analyses the historical origins and the current state of the water crisis in the region and examines the challenges of water resources management and sustainability efforts. It will also emphasise the importance of regional cooperation and modern water management policies. Central Asia's water crisis is not only an environmental problem but also a social and economic challenge. In this context, sustainable water management strategies are vital for the region to achieve its long-term development goals. Türkiye’s cooperation with the Central Asian states in this regard and transferring experience to them will contribute to the regional states' confidence in Türkiye and increase Türkiye’s prestige in the international arena. The article will use the Russian, English, Turkish and Uzbek source search method.

Enhancing Supply Chain Performance: A Comprehensive Review of Supplier Quality Management Strategies

This review article provides a comprehensive overview of supplier quality management (SQM) in the context of modern supply chain management (SCM). SQM is a methodical strategy aimed at examining and managing the dependability and performance of suppliers who provide components, raw materials, or services essential to the manufacturing process. The article discusses the objectives of SQM, including boosting procurement accuracy, simplifying supplier assessments, improving communication with suppliers, and promptly addressing non-compliance issues. It highlights the importance of SQM in ensuring product quality, reducing risks, and enhancing consumer satisfaction. The article also delves into supplier selection and evaluation methods, supplier evaluation criteria, risk assessment and mitigation strategies, quality assurance agreements, continuous improvement practices, and regulatory compliance challenges in SCM processes. By providing insights into these key aspects, this review article aims to offer a comprehensive understanding of SQM and its significance in contemporary supply chain operations.

Kiai Leadership Patterns in The Modernization of Boarding School Management

This study explores the leadership patterns of kiai in the effort to modernize pesantren management, with the aim of understanding how kiai leadership can combine traditional values with the demands of modern management. The main focus of this study is to identify the dual role of kiai as spiritual and managerial leaders, and their impact on the operational effectiveness of pesantren. Using a qualitative method with a case study approach, data were collected through in-depth interviews and observations in several pesantren that have implemented modern management principles. The results of the study indicate that kiai leadership that successfully combines traditional and modern aspects results in more efficient pesantren management without sacrificing the religious values that are the foundation of the institution. In addition, this leadership pattern also strengthens the identity of the pesantren amidst the flow of globalization, maintaining the relevance of the institution while maintaining its uniqueness. These findings indicate that modernizing pesantren management through kiai leadership not only increases operational efficiency but also strengthens the competitiveness and resilience of pesantren in the long term. This study makes an important contribution to understanding how pesantren can adapt to the times without losing their traditional essence, as well as opening up opportunities for further research on the application of modern management in religious-based educational institutions.

USING DATA AND ANALYTICS TO IMPROVE EMPLOYER BRANDING

The use of data and analytics to improve the Employer Branding is an important aspect in modern human resource management. Effective employer branding strategies are based on comprehensive data analysis, including internal employee surveys, feedback analysis on employment platforms, and social media monitoring. Data collection allows us to identify key factors that affect the attractiveness of a company to potential candidates and the level of satisfaction of current employees. Analytical tools and techniques such as machine learning and artificial intelligence are used to process large amounts of data, identify hidden patterns and predict trends. Based on the results obtained, measures are being developed to improve corporate culture, working conditions and career opportunities. Thus, the use of data and analytics contributes to the creation of an attractive employer brand, which allows the company to attract and retain talent, increasing its competitiveness in the labor market and achieving strategic business goals.

The Role of Corporate Culture in The Development of Modern Enterprises

Corporate culture plays an important role in modern enterprise management. It is not only a form of internal management, but more importantly, it reflects the core values and business principles of enterprises. Good corporate culture can have a positive impact on enterprise management and development, and enterprise managers should attach great importance to corporate culture construction. This paper explores and analyzes the role of modern corporate culture in enterprise management and operation through cases, and tries to put forward the path of corporate culture inheritance.

A Review- Optimizing Healthcare Delivery: Navigating the Challenges and Benefits of the Satellite Medical Model in Modern Hospital Management

In the rapidly evolving landscape of healthcare management, the Satellite Medical Model has emerged as a strategic solution to enhance service delivery by decentralizing care through a network of satellite facilities connected to a central hub hospital. This model not only improves accessibility and optimizes resource utilization but also addresses workforce shortages, particularly in underserved regions. Rooted in the hub-and-spoke design from the transportation sector, the Satellite Medical Model facilitates efficient healthcare services, allowing primary care units to manage routine cases while more complex conditions are referred to specialized facilities. Despite its advantages, the implementation of this model faces significant challenges, including technical issues related to data security and interoperability, financial constraints, and operational complexities. This paper explores the potential of the Satellite Medical Model in modern hospital management, examining both its benefits and challenges. By identifying strategic approaches to mitigate these barriers, this study aims to provide healthcare leaders with actionable insights to effectively adopt this model, ultimately leading to improved patient outcomes and greater operational efficiency in healthcare delivery.

A Comprehensive Review of Cryptogenic Stroke and Atrial Fibrillation: Real-World Insights Into the Role of Insertable Cardiac Monitors.

Cryptogenic stroke, a subtype of ischemic stroke with no identifiable cause after comprehensive evaluation, presents a unique challenge in stroke prevention. Atrial fibrillation (AF), a common risk factor for ischemic stroke, is often underdiagnosed in these patients due to its intermittent, asymptomatic nature. Early detection of AF is critical, as anticoagulation therapy significantly reduces the risk of recurrent stroke in AF patients. However, traditional short-term monitoring methods frequently fail to identify paroxysmal AF. Insertable cardiac monitors (ICMs) offer a novel solution by providing continuous, long-term heart rhythm monitoring, which has proven effective in detecting occult AF. Real-world data further support the clinical value of ICMs in guiding the initiation of anticoagulation therapy, ultimately improving stroke prevention strategies. Despite some limitations, such as false positives and the invasive nature of the device, ICMs have emerged as a critical tool in modern stroke management. As technology evolves, future advancements may further enhance AF detection by integrating artificial intelligence and wearable devices. This review provides a comprehensive overview of the role of AF in cryptogenic stroke, the importance of early detection, and the growing significance of ICMs in clinical practice.

The Pangsau Pass: Historical, Cultural, And Geopolitical Dimensions Of Border Construction Between Arunachal Pradesh And Myanmar

The Pangsau Pass, straddling the border between Arunachal Pradesh (India) and Myanmar, has historically functioned as a critical node for trade, cultural exchange, and geopolitical strategies. This paper delves into the pass’s historical importance, its role in cultural interactions, and the political dynamics that have shaped its significance. The study explores the pass's use as a trade route and cultural conduit prior to and following British colonial interventions. It further examines the impacts of colonial policies, including the Treaty of Yandabo and the Simla Convention, on regional socio-cultural landscapes. Additionally, the paper addresses the effects of modern border management and infrastructure developments, highlighting the resilience of indigenous communities and the continuing relevance of historical routes in current geopolitical contexts.

Military Logistics in the Light of the VUCA-World

Abstract The term VUCA-world emerged in the military in the early 1990s and then entered the vocabulary of modern management. Moreover, despite many contrary opinions, it is still relevant. The phenomenon describes a volatile, uncertain, complex and ambiguous environment in which military logistics must operate to ensure sustainability, operability and survivability. A resilient military logistics organisation that can withstand disruptions is essential to the delivery of services. This means that disruptions have less impact on performance and can be quickly restored. Resilience is generated by two main factors, robustness and agility. Robustness created through anticipation and preparation, while agility can be strengthened through flexibility and transparency.

Reservoir Operation based Machine Learning Models: Comprehensive Review for Limitations, Research Gap, and Possible Future Research Direction

The operation of dams and reservoirs is critical for water resource management, including flood control, irrigation, hydropower generation, and environmental conservation. Traditional optimization techniques like Dynamic Programming (DP), Linear Programming (LP), and Nonlinear Programming (NLP) have been foundational in managing these operations. However, they often fall short in addressing the complexities of modern water management challenges posed by climate variability and increasing water demands. Machine learning (ML) techniques have emerged as powerful tools to enhance the efficiency and accuracy of dam and reservoir operations. This paper provides a comprehensive review of various ML models, including Neural Networks, Genetic Algorithms, Decision Trees, and Ensemble Methods, highlighting their applications in predicting reservoir inflows, optimizing water release schedules, and improving flood risk management. Notably, ML models like Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) have shown significant improvements in forecasting accuracy and operational decision-making. Despite these advancements, several limitations and research gaps persist, including the need for real-time data integration, adaptive learning mechanisms, and models that consider socio-economic and climatic factors. This review underscores the importance of addressing these gaps to develop more robust and generalizable ML models. Future research directions are suggested to focus on hybrid models combining ML with traditional optimization techniques, comprehensive validation across diverse conditions, and the integration of ecological and economic considerations. By systematically identifying and addressing these limitations, this research aims to pave the way for more effective and sustainable dam and reservoir management practices. Leading towards suggesting that enhancing real-time data integration and developing adaptive learning mechanisms are in order to improve model responsiveness.

Sentiment analysis and social media analytics in brand management: Techniques, trends, and implications

In the contemporary digital landscape, sentiment analysis and social media analytics have emerged as pivotal tools in brand management. This research explores the influence of sentiment analysis on understanding consumer perceptions and the effectiveness of social media analytics in shaping brand strategies. Through a comprehensive review of existing literature and case studies, the study highlights the critical role these techniques play in assessing consumer sentiment and optimizing brand engagement. Sentiment analysis, utilizing natural language processing (NLP) and machine learning algorithms, provides insights into consumer attitudes and emotional responses. It enables brands to refine their marketing strategies based on real-time feedback and improve brand perception. Concurrently, social media analytics offers valuable data on consumer interactions across various platforms, revealing trends and patterns that inform strategic decisions. The integration of sentiment analysis with social media analytics offers a holistic view of consumer behavior, though it presents challenges such as data accuracy, privacy issues, and the dynamic nature of social media. The research identifies key findings, including the impact of sentiment analysis on brand strategy and the role of social media analytics in enhancing brand visibility and engagement. Recommendations for brand managers include leveraging sentiment insights for strategic adjustments, adopting advanced analytics tools, and addressing privacy concerns. The study also suggests areas for future research, including the exploration of advanced sentiment analysis techniques, integration with emerging technologies, and the development of best practices for ethical data use. Overall, this research underscores the importance of sentiment analysis and social media analytics in modern brand management, providing actionable insights for optimizing brand strategies and improving consumer engagement.

Embryonic, Fetal, and Neonatal Complications in Infants of Diabetic Mothers: Insights from the Cincinnati Diabetes in Pregnancy Program Project Grant.

This study aimed to review how the Cincinnati Diabetes in Pregnancy Program Project Grant (PPG) contributed to the understanding and treatment of neonatal complications in infants of diabetic mothers (IDMs). This is a retrospective review of all PPG work on glycemic control at different pregnancy time points and its association with embryonic, fetal, and neonatal complications, such as congenital malformations (CMs), intrauterine growth restriction, macrosomia, hypoglycemia, respiratory distress syndrome (RDS), asphyxia, and polycythemia. We found that maternal vasculopathy and poor glycemic control during embryogenesis, but not frequency of maternal hypoglycemic episodes or insulin therapy, are independent risk factors for major CMs. A suggestive association of major CMs with maternal Magnesium deficiency was also observed. Poor glycemic control during late embryogenesis and early fetal development was associated with an increased risk of minor CMs. We described a biphasic pattern of fetal growth whereby early growth delay was followed by enhanced fetal growth associated with neonatal macrosomia. Macrosomia was associated with poorer glycemic control in the third trimester and an increased risk of birth trauma. Macrosomia was also correlated with animal-origin insulin concentrations in cord blood, demonstrating that insulin bound to antibodies can cross the placenta and may affect the fetus. We also showed that neonatal hypoglycemia was significantly associated with third-trimester glycemic control, in addition to hyperglycemia occurring during labor. With modern management and adequate prenatal care, IDMs are no longer at increased risk for RDS. Perinatal asphyxia was associated with increased proteinuria appearing in pregnancy, maternal hyperglycemia before delivery, and prematurity. Polycythemia in IDMs is prevalent and correlates with proxy measurements of fetal hypoxemia (nucleated red blood cells at delivery) and poorer glycemic control in late pregnancy. The PPG in its various phases revealed the important role of glycemic control at nearly every stage of pregnancy including labor. KEY POINTS: · Poor glycemic control during embryogenesis is a major risk factor for CMs.. · Magnesium deficiency might contribute to major malformations.. · Macrosomia is associated with poor glycemic control in the third trimester.. · Strict glycemic control reduces fetal and neonatal morbidity in pregnancies with insulin-dependent diabetes mellitus..

METHODOLOGY FOR DEVELOPING INFORMATION TECHNOLOGY FOR SECURITY-ORIENTED MANAGEMENT OF SOCIO-ECONOMIC SYSTEMS BASED ON FUZZY LOGIC

In today's environment, socio-economic systems face increasingly complex challenges associated with high levels of uncertainty, risks, and rapid changes in the external environment. This necessitates the development of effective management methods that can ensure the reliability and flexibility of decision-making. The research is aimed at creating a methodology for the development and application of information technology for security-oriented management based on the principles of fuzzy logic. Fuzzy logic, based on the theory of fuzzy sets developed by Lotfi Zadeh, is a powerful tool for working with incomplete and fuzzy data, allowing to model complex systems and processes where traditional approaches may be ineffective. The paper discusses the peculiarities of using fuzzy logic to create models that take into account possible risks and facilitate informed decision-making even with limited information. The proposed methodology allows to integrate various data sources, process them in real time and provide recommendations for risk management and security of socio-economic systems. The study also describes the structure of the technology, which includes the stages of data collection, fuzzification, fuzzy inference, defuzzification, and decision support. Systems based on fuzzy logic demonstrate high adaptability, resilience to change, and the ability to operate in the face of unpredictable changes. The results of the study confirm that the proposed information technology can be applied in various industries, such as transportation, healthcare, and industry, to improve the safety and efficiency of management decisions. The use of the proposed methodology helps to reduce risks, improve the quality of management and adaptability to changes in external conditions, which are key requirements in modern management.

Myoglobin saturation as an intracellular indicator for transfusion need in oncology patients.

This study aims to demonstrate the potential of myoglobin saturation as an indicator of oxygen delivery adequacy to help determine the need for red cell transfusion. Modern blood management approaches have been established to optimise use of red blood cells for transfusions in patients with anaemia. However, most approaches make recommendations to transfuse based on haemoglobin or haematocrit levels and do not directly address adequacy of oxygen delivery. Intracellular oxygen determined by myoglobin saturation directly measures oxygen delivery at the tissue level. A custom built spectrometer system with an optical fibre probe was used in this pilot study to measure muscle cell myoglobin saturation noninvasively from the first digital interosseous muscles in patients undergoing planned red blood cell transfusion. Patients were recruited from both the in-patient and out-patient oncology service at a major university medical centre. Measurements were made immediately before, immediately after, and 24 h following transfusion. Clinical data and tissue oxygen values from the Somanetics INVOS system were also collected. Myoglobin saturation, and thus cellular oxygen increased in some, but not all patients receiving a transfusion, and was most pronounced in patients who initially had low myoglobin saturation compared with the group as a whole. Clinical decisions to transfuse based on haemoglobin or haematocrit thresholds alone are likely insufficient to optimise use of red blood cell transfusions. The combination of haemoglobin or haematocrit with myoglobin saturation may optimally determine who will benefit physiologically from a transfusion.

Effects of Different Living Grass Mulching on Soil Carbon and Nitrogen in an Apple Orchard on Loess Plateau

Living grass mulching (LMG) is a modern, environmentally friendly, practical, and efficient production management technology that improves the ecological environment, quality, and efficiency of the orchard. However, in arid and semi-arid areas, the effects of different grass species mulching on soil carbon composition, carbon pool stability, and nitrogen content are still unclear. Therefore, in order to explore the impact of different LMG on soil carbon, nitrogen, and its component content, as well as the related soil carbon pool management index in an apple orchard located in the semi-arid region of the Loess Plateau, a control experiment was conducted. The experiment involved different grass species cover treatments on an 11-year-old semi-dwarf Qinguan apple orchard from 2019 to 2022. Soil carbon and nitrogen content were measured under each treatment. The results indicated that the application of LMG treatment and depth of the soil had a significant impact on the soil organic carbon (SOC), particulate organic carbon (POC), inactive organic carbon (NAOC), total nitrogen (TN), and carbon-to-nitrogen ratio (C/N). Planting Vulpia myuros mulches significantly enhanced 39.6% surface soil organic carbon, 61.7% surface particulate organic carbon, 20.3% surface dissolved organic carbon (DOC), 75.8% surface inactive organic carbon, and 20.6% surface soil total nitrogen compared to clean tillage. Mulching treatment with the planting of Vulpia myuros boosted surface soil organic carbon and decreased soil carbon pool activity (CPA) and carbon pool activity index (CPAI), ultimately improving the stability of the soil carbon pool. The findings will have a beneficial impact on improving soil quality, carbon sequestration, and emission reduction in arid and semi-arid regions.

Digital HRM with Machine Learning Approach

The purpose of this paper is to provide an overview of how modern resource management resolves conventional challenges in that area. Computing technology with all its specific application variants will help human performance in HR management in the contemporary era. The rapid advancement of technology and digitalization has presented a digital economy characterized by business and the trade transactions based on technology. This study aims to analyze the influence of the digital economy as measured by the Value of Electronic Money Transactions and the Value of E-Commerce Transactions on Indonesia’s economic growth. This research method is descriptive qualitative with a literature study approach. The data sources used are journal manuscripts, books, and other sources that are in accordance with the theme of this study. The data will be elaborated to get the construction of relevant thoughts and reflect an adequate analysis of computers and human resource management in this modern era. The results of the study are computing is able to carry out administrative tasks automatically; computing is able to increase employee engagement; computing can help improve the recruitment and orientation process; computing can help ensure compliance; and computing can help drive data-driven decision making.

Homoeopathic dilution of Berberis vulgaris and Urinary calculi: A Case Series

Introduction- Consequent upon the changing lifestyle the incidence of urinary calculus is emerging as one of the alarming problems around the globe. Apart from modern management, homoeopathy provides an alternative and effective means for its management. In this case series Six successfully treated cases of urinary calculi are presented which shows how potentized homoeopathic medicine Berberis vulgaris (Berb-v) is effective in expelling and mitigating urinary calculi. Case summary- After proper case taking Berb-v in diluted and potentised form was prescribed specifically in pre-diagnosed six cases. They were followed up for varied periods of time at 15 to 20 days intervals after first enrolment. Calculi were expelled with diminution of symptoms. However, more and more randomized control trials and other basic researches are needed to evaluate and explore the effectiveness of Berb-v in urinary calculi.