Modern Management Research Articles

Travel-mode inference based on GPS-trajectory data through multi-scale mixed attention mechanism

Identifying travel modes is essential for modern urban transportation planning and management. Recent advancements in data collection, especially those involving Global Positioning System (GPS) technology, offer promising opportunities for rapidly and accurately inferring users' travel modes. This study presents an innovative method for inferring travel modes from GPS trajectory data. The method utilizes multi-scale convolutional techniques to capture and analyze both temporal and spatial information of the data, thereby revealing the underlying spatiotemporal relationships inherent in user movement and behavior patterns. In addition, an attention mechanism is integrated into the model to enable autonomous learning. This mechanism enhances the model's capacity to identify and emphasize key information across different time periods and spatial locations, thus improving the accuracy of travel mode inference. Evaluation on the open-source GPS trajectory dataset, GeoLife, demonstrates that the proposed method attained an accuracy of 83.3%. This result highlights the effectiveness of the method, demonstrating that the model can more accurately understand and predict user travel modes through the integration of multi-scale convolutional technologies and attention mechanisms.

Design and implementation of college students’ physical education teaching information management system by data mining technology

This study intends to improve the efficiency of physical education teaching management, accelerate the normal teaching process, and meet the modern management requirements that traditional teaching management methods cannot meet. Based on data mining technology, this study designs a college student physical education teaching information management system, and makes a detailed design of each functional module. The main task of this study is to investigate how to effectively integrate data mining techniques with existing university student physical education teaching databases. Then, this study finds useful data information from massive data information to provide information support for university student physical education teaching. In order to effectively mine the relevant information of the data, the student evaluation module in the system is designed based on decision trees, and the teacher-student related data analysis module in the system is designed based on association rules. The research results indicate that 1039 records and 8205 student records are extracted from the teaching management database as mining objects. Rule 1: The support rate for “a professor's degree is a doctoral degree” is 20.4 %, indicating that there are 20.4 % of records in the teacher database that “the title is a professor and a doctoral degree”; the confidence level of Rule 1 is 78.2 %, indicating that 78.2 % of professors have a doctoral degree. Through the analysis of the rules that evaluate teaching as good, it can be found that the three attributes of professional title, education level, and teaching experience are the most important relevant factors affecting teaching effectiveness. Research has shown that the longer and richer the teaching experience, the stronger the teaching ability. Secondly, the mining results obtained through data mining techniques are analyzed. The maximum difference between the original algorithm's support mining results and the true values is 0.08, while the maximum difference between the improved algorithm's support mining results and the true values is 0.01. Compared to the original algorithm, the improved algorithm's mining results are accurate and effective. The application of data mining ideas in this system has laid a solid foundation for the development of physical education and teaching. Moreover, a three-layer system architecture model is adopted to better adapt to the development of school physical education, which is beneficial for later system maintenance and greatly reduces the work pressure of teachers. The system has been successfully launched and running in universities, and it is in good working condition.

Exploration of the application of artificial intelligence in modern agricultural production Take orchard management as an example

In the context of increasing global agricultural challenges, the application of artificial intelligence technology in the agricultural field is increasingly a trend, especially in the production of agricultural products, intelligent identification technology has shown the potential to significantly improve production efficiency and optimize yield and quality. By the mid-21st century, demand for food production is expected to reach 50 percent, and there will be enormous pressure to achieve this goal with traditional agricultural technologies, which could be achieved through the application of artificial intelligence. The application of artificial intelligence technology in modern agricultural production will be analyzed in detail in this paper, the guidance of future research fields will be proposed, and the existing challenges and technical problems will be identified and discussed in order to promote the deepening and wide application of intelligent agriculture. This paper specifically discusses examples of applications in orchard management, pest detection, and automated harvesting and summarizes the effectiveness and obstacles of these techniques.

Control components in the work of the head of nursing service of a dental clinic

In the management activities of each head of the nursing service, an important place is occupied by control over the work of mid-level and junior medical personnel. Control is a process of ensuring the achievement of organizational goals, which consists of setting standards, measuring the actual results achieved and comparing them with the standards, as well as making adjustments if the achieved results differ from the established standards. Target. To study the components of the control function used by the head nurse of the dental clinic in management activities. Results. The main areas of control over the activities of the middle and junior medical personnel of the dental clinic have been studied, the content of the types of control and trigger points have been determined. Conclusion. Each work performed requires verification and comparison of actual results with the planned work. Therefore, the topic of control is always relevant. Modern management theory has developed clear requirements for control: it must be prompt, transparent, objective.

A Proposed Frame Work for Enhancing Competitiveness of Small and Medium Enterprises (SMEs)

Small and medium enterprises (SMEs) are important agents of development throughout the world. Promoting a country’s SME sector plays a crucial role in maintaining high employment and income generation and is therefore critical for achieving sustainable grow by enhancing SMEs competitiveness. The general objective of this paper is to develop a theoretical frame work model for garment SMEs competitiveness that supports garment manufacturing small and medium enterprises (SMEs) to enhance their competitiveness by identifying the possible competitiveness factors. To achieve the presented objectives, a purposive sample basis on selected garments manufacturing SMEs found at three different clusters in Addis Abeba city administration is used. The data in this paper are both primary and secondary data. Primary data was collected though questionnaires, interviews and observations, while secondary data sources referred from company’s documents and several articles from reputable international journals. Both qualitative and quantitative approaches are used to analyse the collected data using various statistical programs. The results of the paper found that in garment manufacturing SMEs the main difficulties faced in performance dimension which is divided into financial performance and non-financial performance are the lack of collateral, the lack of proven track records, the lack of proper business plans and the need to show good sales turnover are the major financial performance parameters that deters the competitiveness. The SMEs do not have well established system to support effective and efficient implementation systems for productivity improvement. Finally the garment manufacturing SMEs are potentially wasting valuable and scarce resources since they don’t implement productivity improvement tools and techniques Lack of appropriate machinery and equipment are the main non-financial performance parameter that deters the competitiveness. To tackle the problems and enhance competitiveness of garment manufacturing firms, a theoretical conceptual model based on this requirement has been developed and the implementation requires a coordinated and well organized system among the actors (at macro and micro level) in the value chain. Some of the major problems such as lack of skilled manpower and infrastructure have to be tackled by the government and private sectors. And the other problems could be approached by using some modern management philosophies (such as just-in-time manufacturing, business process re-engineering, lean production) and scientific methods like production planning and control.

Modern Management of Gastric Neuroendocrine Neoplasms.

Gastric neuroendocrine neoplasms (G-NENs) are a heterogeneous group of tumors that broadly fall into two groups. The first group, driven by oversecretion of gastrin, are generally multifocal, small, and behave indolently with a low (but non-zero) risk of progression and metastatic spread. They are conventionally categorized into type 1, with endogenous gastric-based overproduction of gastrin, and type 2 G-NEN, with overproduction of gastrin from an extra-gastric gastrin-secreting tumor. The second group, termed type 3 G-NEN, occur spontaneously and are potentially more aggressive, having a clinical course analogous to other neuroendocrine tumors of the gastrointestinal tract. Type 1 G-NEN can be managed with endoscopic surveillance and resection of visible lesions with great success, reserving surgery for the rare high-risk lesion, whereas surgical resection of the causative gastrin-secreting tumor in type 2 G-NEN is usually curative. Type 3 G-NEN is usually managed with formal surgical resection but there is growing evidence that limited surgery or even endoscopic resection in appropriately selected patients with low risk is both safe and effective. A novel subtype of G-NEN, associated with long-term proton pump inhibitor usage, is increasing in incidence. The pathophysiology seems to parallel type 1 G-NEN. In the setting of metastatic disease, which can occur in any subtype but is most common by far in type 3 G-NEN, the lack of trial data unique to G-NEN results in extrapolation of strategies and agents for treatment of non-gastric neuroendocrine disease. The rapid pace of development in this area is likely to benefit the metastatic G-NEN patient as well. As treatment is predicate on type of G-NEN, establishing the etiology of the lesion is crucial but growing knowledge of G-NEN pathophysiology and close collaboration between pathologists, gastroenterologists, radiologists, surgeons, and oncologists have enabled a growing trend towards de-escalation and less-invasive treatment paradigms.

Enlightenment of Praetorianism on Modern Organization and Management: A Case Study of the Former Soviet Union

Enlightenment of Praetorianism on Modern Organization and Management: A Case Study of the Former Soviet Union

A Fast History-Matching and Optimization Tool and Its Application to a Full Field with More than 1,000 Wells

Summary In this work, we study a waterflood field containing more than 1,000 wells, and the modern field management techniques with full-fidelity 3D geocellular reservoir models become computationally prohibitive. To overcome the difficulty, we developed a novel flow-network data-driven model—the general-purpose simulator-powered network (GPSNet) model—and used it for rapid history matching and optimization. GPSNet includes physics, such as mass conservation, multiphase flow, and phase changes, while maintaining a good level of efficiency. To build such a model, a cluster of 1D connections among well completion points is constructed and forms a flow network. Multiphase fluid flow is assumed to occur in each 1D connection, and the flow in the whole network is simulated by our in-house general-purpose simulator. Next, to effectively reduce the uncertainty, a hierarchical history-matching workflow is adopted to match the production data. Ensemble smoother with multiple data assimilation (ESMDA) plays an important role in reducing the error at each history-matching step. After that, the best-matched candidate is selected for numerical optimization to maximize field oil production with constraints satisfying field conditions. Excellent history-matching results have been achieved on the field level, and good matches have also been observed for key producers. It is also worth mentioning that the history-matching process took a mere 4 hours to finish 1,100 simulation jobs. The successful application of the GPSNet to this waterflood field demonstrates a promising workflow that can be used as a fast and reliable decision-making tool for reservoir management.

Pulse Pressure as a Hemodynamic Parameter in Preeclampsia with Severe Features Accompanied by Fetal Growth Restriction.

Background: Modern management of preeclampsia can be optimized by tailoring the targeted treatment of hypertension to an individual's hemodynamic profile. Growing evidence suggests different phenotypes of preeclampsia, including those with a hyperdynamic profile and those complicated by uteroplacental insufficiency. Fetal growth restriction (FGR) is believed to be a result of uteroplacental insufficiency. There is a paucity of research examining the characteristics of patients with severe preeclampsia who do and who do not develop FGR. We aimed to elucidate which hemodynamic parameters differed between these two groups. Methods: All patients admitted to a single referral center with severe preeclampsia were identified. Patients were included if they had a live birth at 23 weeks of gestation or higher. Multiple gestations and pregnancies complicated by fetal congenital anomalies and/or HELLP syndrome were excluded. FGR was defined as a sonographic estimation of fetal weight (EFW) < 10th percentile or abdominal circumference (AC) < 10th percentile. Results: There were 76% significantly lower odds of overall pulse pressure upon admission for those with severe preeclampsia comorbid with FGR (aOR = 0.24, 95% CI = 0.07-0.83). Advanced gestational age on admission was associated with lower odds of severely abnormal labs and severely elevated diastolic blood pressure in preeclampsia also complicated by FGR. Conclusions: Subtypes of preeclampsia with and without FGR may be hemodynamically evaluated by assessing pulse pressure on admission.

Approach to the Patient: New Era Emerges for Craniopharyngioma Management.

Papillary craniopharyngioma (PCP) and adamantinomatous craniopharyngioma (ACP) are distinct, slow-growing tumors of the suprasellar region. Their location, composition, and biology have historically evaded successful surgical radiation and medical therapy. Meanwhile compromise of critical structures either by tumor or treatments increase morbidity, impacting patient and carer quality of life. There has been a paradigm shift in the management of PCP, stemming from the discovery of BRAFV600E mutation in its tumorigenesis. Such a treatment breakthrough may soon be the case for ACP, changing the landscape of craniopharyngioma management. We use a case of ACP partially responding to ERK inhibitor therapy to demonstrate chronicity of disease progression and discuss modern management strategies highlighting the importance of access to tumor agnostic clinical trials, and future directions.

Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis.

The proliferation of digital technology has the potential to transform diabetes management. One of the critical aspects of modern diabetes management remains the achievement of glycemic targets to avoid acute and long-term complications. This study aims to describe the landscape of evidence pertaining to the relative effectiveness or efficacy and safety of various digital interventions for the self-management of type 2 diabetes mellitus (T2DM), with a primary focus on reducing glycated hemoglobin A1c (HbA1c) levels. A systematic literature review (SLR) was conducted by searching Embase, MEDLINE, and CENTRAL on April 5, 2022. Study selection, data extraction, and quality assessment were performed by 2 independent reviewers. Eligibility criteria for the SLR included randomized controlled trials (RCTs) and comparative observational studies evaluating interventions containing both human (eg, coaching) and digital components (eg, glucose meter) in adult patients with T2DM. The primary meta-analysis was restricted to studies that reported laboratory-measured HbA1c. In secondary analyses, meta-regression was performed with the intensity of coaching in the digital intervention as a categorical covariate. In total, 28 studies were included in this analysis. Most studies (23/28, 82%) used the reduction of HbA1c levels as the primary end point, either directly or as a part of a multicomponent outcome. In total, 21 studies reported statistically significant results with this primary end point. When stratified into 3 intervention categories by the intensity of the intervention supporting the digital health technology (analyzing all 28 studies), the success rate appeared to be proportional to the coaching intensity (ie, higher-intensity studies reported higher success rates). When the analysis was restricted to RCTs using the comparative improvement of HbA1c levels, the effectiveness of the interventions was less clear. Only half (12/23, 52%) of the included RCTs reported statistically significant results. The meta-analyses were broadly aligned with the results of the SLR. The primary analysis estimated a greater reduction in HbA1c associated with digital interventions compared with usual care (-0.31%, 95% CI -0.45% to -0.16%; P<.001). Meta-regression estimated reductions of -0.45% (95% CI -0.81% to -0.09%; P=.02), -0.29% (95% CI -0.48% to -0.11%; P=.003), and -0.28% (95% CI -0.65% to 0.09%; P=.20) associated with high-, medium-, and low-intensity interventions, respectively. These findings suggest that reducing HbA1c levels in individuals with T2DM with the help of digital interventions is feasible, effective, and acceptable. One common feature of effective digital health interventions was the availability of timely and responsive personalized coaching by a dedicated health care professional.

Guidelines for future agricultural technology development to increase productivity in the Agricultural sector

Technology development in the agricultural sector is important in the development of Thailand’s economy. The purpose of this research was to study the approach of guidelines for future agricultural technology development to increase productivity in the Agricultural sector in order to develop a structural equation model. The research applied mixed-methodology. Qualitative research by in depth interview from 9 experts and focus group with 11 successful businesspersons for approve this model. The quantitative data gather from firm, in the 500 of agricultural sector by using questionnaire, using statistical tests of descriptive analysis, inferential analysis, and multivariate analysis. The research found guidelines for future agricultural technology development to increase productivity in the Agricultural sector composed of 4 latent. The most important item of each latent were as following: 1) Agrobiology Technology (= 4.41), in important item as choose seeds that for disease resistance and tolerate the environment to suit the cultivation area, 2) Environmental Assessment (= 4.37),, in important item as survey of cultivated areas according to topography with geographic information system, 3) Agricultural Innovation (= 4.30), in important item as technology reduces operational procedures, reduce the workforce and can reduce operating costs, and 4) Modern Management Systems (= 4.13), in important item as grouping and manage as a cooperative to mega farms. In addition, the hypothesis test found that the difference in manufacturing firm sizes. Medium and Small size and large size revealed overall aspects that were significantly different at the level of 0.05. The analysis of the developed structural equation model found that there was in accordance and fit with the empirical data and passed the evaluation criteria. Its Chi-square probability level, relative Chi-square, the goodness of fit index, and root mean square error of approximation were 0.062, 1.165, 0.961, and 0.018, respectively.

KONSEP DALAM MERUMUSKAN VISI, MISI, TUJUAN DAN PROGRAM LEMBAGA PENDIDIKAN ISLAM

The era of Society 5.0 and Industrial Revolution 4.0 brought fundamental changes to the educational landscape, requiring Islamic educational institutions to adapt without losing their identity. This article examines the concept of formulating the vision, mission, goals and programs of Islamic educational institutions in the context of the digital era. This research uses a library research method with a descriptive-analytical approach. Data was obtained from primary sources in the form of the Al-Qur'an, Hadith, and the latest publications from reputable Islamic education journals, as well as relevant secondary sources. Data analysis was carried out through the stages of categorization, contextual interpretation and conceptual synthesis. The research results show that these four elements must be formulated based on the integration of modern management and Islamic values ​​interpreted contextually. The main finding is the concept of "technological ijtihad", namely an effort to reinterpret classical Islamic concepts to make them relevant to the digital era. The vision must respond to global issues, the mission includes Islamic "digital citizenship", the goals are formulated using SMART and VUCA Prime principles, while the program integrates Islamic boarding school values ​​with technology. This approach resulted in a creative synthesis between tradition and modernity, which gave birth to a "techno-spiritual" generation. This article contributes to providing a conceptual framework for Islamic educational institutions to formulate strategic directions that are in line with Islamic identity and the demands of the times, so that they can produce graduates who are superior intellectually, technologically and spiritually.

Control of Haemorrhage in Orthopaedic Trauma.

This paper aims to outline current practices and examine promising new advancements in the modern management of haemorrhage in orthopaedic trauma. Many prehospital and perioperative haemorrhage control strategies and techniques have been available to clinicians for multiple decades, yet our understanding and utilisation of these practices continues to be refined and optimised. There is a particular focus in this article on issues related to resuscitation and coagulation in trauma. We examine the complex mechanisms that lead to coagulopathy in trauma patients as well as the transformative effect tranexamic acid has had in limiting blood loss. We also explore some emerging technologies such as endovascular interventions and clot-stabilising dressings and devices that are likely to have a significant impact going forward.

Risk management in short–term rental properties: methods and strategies for minimizing risks

This article aims to identify and analyze effective risk management strategies within the short–term rental market, focusing on enhancing operational efficiency and profitability while ensuring compliance and security. The study utilizes a methodological framework that integrates data–driven risk assessments, optimization of rental strategies through predictive analytics, the implementation of advanced security systems, and rigorous regulatory compliance. Key findings demonstrate that these strategies significantly mitigate financial, operational, and legal risks, contribute to sustainable business practices, and enhance the market reputation of property managers. The conclusion underscores the necessity of incorporating technological advancements and stringent compliance measures as foundational elements of modern property management. The novelty of this work lies in its comprehensive approach to integrating diverse risk management strategies, providing a holistic view that addresses the multifaceted challenges faced by today’s short–term rental businesses.

Human Resources in the Knowledge Economy: Training and Developing Modern Management Skills

Human Resources in the Knowledge Economy: Training and Developing Modern Management Skills

CHALLENGES OF BUSINESS MANAGEMENT TRANSFORMATION IN THE DIGITAL ECONOMY

Davit Katamadze E-mail: qatamadze.davit@bsu.edu.ge Associated Professor,Batumi Shota Rustaveli state University Batumi, Georgia https://orcid.org/0000-0003-2992-9326 Abstract: In the conditions of globalization and globalization of the modern world economy, rapid changes in consumer tastes, business management environment, acceleration of digital transformation have brought revolutionary changes in the business activities of companies. New forms of digital interaction and information exchange pose various challenges to businesses and push them to adopt digital solutions. The ongoing hostilities between Russia and Ukraine in the Middle East and the resulting economic uncertainty have prompted companies to radically review the value chain in their business strategy. The purpose of the research is to determine the challenges in the transformation of business management in the conditions of digital business in order to avoid delays in the creation of the value chain of the business strategy of Georgian firms and to meet the rapidly changing needs of consumers. In the paper, the methods of gathering, grouping, analysis and synthesis of materials were used to reveal the problems of digital transformation of modern business management. The method of gathering materials was used to evaluate the possibility of transformation of business management, and the method of observation was used to reveal the potential of digital transformation of business management. On the basis of which the potential of digital transformation of business management was identified and the possibilities of its implementation were analyzed. As a result of the research, the factors hindering the digital transformation of business management were identified, the elimination of which will contribute to increasing the competitiveness of the companies operating in Georgia and raising the qualification level of the personnel employed in them. In order to eliminate the problems arising during the digital transformation of modern business management, we have developed recommendations, the consideration of which will significantly increase the level of competitiveness and management of companies operating in modern Georgia.. Keywords: Business management, digitization, business-wide transformation, creating more value in new business. JEL classification: M11: M15: IT, M2

Design and Application of Virtual Cloud OMS Computing in Smart Airport

Airport management takes airport information management as its key link, and it is also the key to ensure the safe operation of airports. As a modern information management and processing technology, cloud computing plays an indispensable role in the fields of efficient information processing, strengthening management and improving work efficiency. Under the development background of the information age, the management mode of airport operation and maintenance has also changed to some extent. In the growth of the new era, airport operation and maintenance managers need to introduce new technologies and then combine more advanced technologies with the airport operation and maintenance system (OMS) so as to promote the normal operation of the airport OMS based on advanced data acquisition, analysis, and integration technologies. This article studies the application of cloud computing technology and designs a virtual cloud OMS based on deep learning (DL) from the perspective of the security requirements of the management information system (MIS) to realize the fault diagnosis and identification of the airport MIS. The fault diagnosis technology of the airport MIS based on virtual cloud OMS and DL proposed in this study has broad prospects in practical application. It can be applied to airport operation and maintenance management, security, and other links, providing intelligent support for airport operation.

Подходы к управлению человеческими ресурсами в Арктической зоне России и циркумполярных странах Европы

The article presents an overview of approaches to human resource management in the Arctic zone of Russia and the circumpolar countries of Europe. The importance of high-quality human resources for the sustainable development of the circumpolar zone of Russia is considered, modern human resource management practices in Russia and European countries with territories beyond the Arctic circle are studied. All these countries need to attract, motivate, improve the skills and control the working staff. At the same time, their approaches to human resource management are not the same. The main differences are due to cultural factors, peculiarities of legislation, the economic situation in the country, the system of relations with employees, etc.

Development of management and its impact on medicine and pharmacy

Aim. To study and generalize the main current trends in the theory and practice of management and their impact on the activities of healthcare institutions. Materials and methods. Scientific literature, legislative and regulatory acts, informational websites on the Internet were used. Such methods as the content analysis, comprehensive and systemic approach, structural-logical analysis, generalization, comparison, and grouping were applied. Results. The current trends in management have been systematized and grouped. The role of the development of organizational management theory and practice in changing approaches to management, leadership in forming new requirements for the skills of employees, increasing attention to the human factor, digitalization of management processes, socialization of management, etc., in general and in the healthcare system in particular has been demonstrated. Areas of use of artificial intelligence (AI) in medical, clinical, pharmaceutical, and biotechnological practice have been identified. The impact of innovative processes on the functioning of pharmaceutical market entities has been characterized. Conclusions. Modern management trends have been analyzed; changes in management concepts and company transformation have been described; the characteristics of contemporary leadership, the implementation of a value-oriented approach, directions for the development of mechanisms for intellectual management and digitalization, and innovative approaches to management have been determined. The impact of existing management trends and achievements on the medical and pharmaceutical system has been demonstrated.