Conditions Of Limited Resources Research Articles

About managing the number of simultaneously functioning software robots of different types

Objectives. The study sets out to justify the relevance and investigate approaches for solving the problem of managing the number of simultaneously functioning software robots of various types under conditions of limited computational resources and changes in sets of executable tasks.Methods. A proposed solution is based on models and methods of scenario management, linear programming, inventory management, queuing theory, and machine learning. The described methods are valid for different compositions and preconditions for generating initial data, as well as ensuring the relevance horizons of the obtained solutions.Results. The initial data is obtained via the presented approach for determining the computational resource parameters for operating a single software robot. The resources are determined by analyzing the composition of the software and information services used by an actual software robot. Problem statements and mathematical models are developed for cases involving scenario management and linear programming methods. Methods for real-time management of the number of software robots and their sequential local optimization are proposed based on the abovementioned solution sequences. The developed method for generating statistical data based the results of applying the sequential local optimization method is used to identify deficient and non-deficient computational resources. Some results of working in the multi-functional center of RTU MIREA software robots developed on the Аtоm.RITA platform are outlined.Conclusions. The emerging problem of managing the number of simultaneously operating software robots of various types for cases involving scenario control methods and linear programming is formalized. This problem is relevant in the field of automation of business processes of organizations. The use of mathematical methods for solving this problem opens up opportunities for expanding the functional capabilities of robotic process automation platforms, as well as increasing their economic efficiency to create competitive advantages by optimizing the use of IT infrastructure components.

Population, Land, and the Development of the Commodity Economy: Evidence from Qing Dynasty China

Population growth exacerbates the pressure on land carrying capacity, affecting the sustainability of agricultural production, and also impacts non-agricultural industries. This paper utilizes grain price data from southern China during the Qing Dynasty (1776–1910) to examine the impact of population and land pressure on the development of the commodity economy under the “involution” of smallholder agriculture. This study finds that under conditions of stagnant technological advancement and limited natural resources, population growth during the Qing Dynasty created significant “Malthusian” population pressure. This pressure on land first resulted in the over-concentration of agricultural labor and saturation of the farming population. Surplus labor, unable to be absorbed by agriculture, shifted to non-agricultural sectors, engaging in the transportation and trade of grain. The pressure on land carrying capacity facilitated the cultivation and processing of cash crops, and product trade was supported by efficient waterway transportation. These activities generated commercial profits that alleviated survival pressures and promoted the prosperity of the commodity economy. However, this prosperity did not accompany significant productivity improvements; instead, it was a product of “involution” agriculture under high population density pressures.

THE FREIGHT FORWARDING OPERATIONS WITH BULK CARGO IMPROVEMENT

Abstract. The article considers the technology of bulk cargo transportation option by accelerated trains, based on two separate routes that allow delivering goods to the countries of the European Union by land in the West of our country and through the ports of the Black Sea coast. Approaches that allow not only to choose the best option for the bulk cargo transporting by accelerated trains technology, but also improving the vehicles use under the conditions of limited resources are considered. The rationality of measures to improve the quality of freight transportation organization is not only the economic effect from freight charges, but also the time of delivery. The analysis of the generalized economic-mathematical model of container trains, that includes the main criteria and parameters taking into account the technical equipment of the chain and the technology of transit flows, when service channels of different capacity in can exist each part of the logistic transport chain, with different costs and effects on the development of road traffic. The model of a freight container train proposed in this section improves the technology for the goods in containers transportation by the railways. During the delivery and export of goods by vehicles model development, it is necessary to take into account the fact that under present conditions, the volume of small-scale transport is almost zero. This is because they are expensive (high transport fee), have low product safety and long delivery time. Almost all of them are now transported by road, so it is not recommended to consider them as a promising direction in the further development of services for the import and export of goods. After calculating the savings from car turnover by containers acceleration, it was found that shipping containers in a block container train is much more efficient than in a block group, as cargo delivery times are faster, ranging from 8.05 to 9.08 days. We get savings from acceleration of car turnover by containers for a year within 430 - 450 thousand UAH. Economic consequences of introduction of container trains in Ukraine for 5 years of operation is 1 965 128 UAH for the route (S1) and 1 979 142 UAH for the route (S2). The proposed approaches prospect of development may be clarified by predicting the volumes of transport and the costs of components associated with the transport of goods in containers, by using stochastic modeling methods and artificial intelligence.

THE RISK THRESHOLD LEVEL JUSTIFICATION METHOD OF THE CRISIS SITUATIONS IN ORDER TO PREVENT ARMED AGGRESSION

The risk threshold level method of the crisis situations justification to prevent armed aggression against targeted state (with elements of artificial intelligence technology) has been developed, that ensures the integrated risks of crisis situations threshold levels determination. The method is based on the expert assessment and forecasting technologies and allows to track the dynamics of growth of destructive risks factors of negative trends in the development of the security environment and preventive response to the processes of ensuring the national security of the State in its defining areas by reducing the risks of the most dangerous negative trends that can provoke crisis situations in the targeted State. It is noted that since the target State has limited resources allocated to ensure national security, it makes no sense to fully consider all the identified negative trends (not all of them are aimed at the use of military force). Therefore, the method provides for the establishment of two threshold (critical) levels for each negative trend. The first level is the level of fixing the integral risk (if the negative trend has two or more destructive factors), upon reaching that the national security system organizes detailed monitoring of such a trend. The second level is the threshold level of of a crisis situation risk, at which crisis management is engaged in the system of ensuring national security. Practical implementation of the developed method will ensure a faster response to the risks of certain destructive factors for national security, which will make it possible to increase the efficiency of national security management under conditions of limited resources and expand preventive response to a wider range of negative trends in the geopolitical and military-political situation in the regions where targeted State's national interests are realized.

SYNERGY OF PHYSIOLOGY, PSYCHOLOGY AND TACTICS: KEY TO SUCCESS IN HANDBALL

This article highlights the unique experience of the development of handball in Australia. The study focuses on the participation of the Sydney Uni Handball Club team in the “Europe Tour 2024”, which is an important step towards international recognition and exchange of experience with leading European clubs. The purpose of the study is to assess the relationship between physiological training, psychological stability, tactical flexibility and their contribution to the sports performance of the team. The object of study is the process of training in handball at the professional level. The subject of the study is the physiological aspects of training in the context of the specifics of the training process in handball. Research methods: theoretical analysis and generalization of scientific and methodological sources on the topic of the research, pedagogical observations. Research results. The authors analyze key aspects that influence team performance, including adaptation to new conditions, tactical flexibility, fatigue and recovery management, and the effectiveness of finishing attacks. Particular attention is paid to the impact of jet lag on the physical and cognitive functionality of the athletes, emphasizing the need to develop strategies to adapt to flights and time zone changes. The proposed measures are aimed at minimizing the negative impact of jet lag and increasing the competitiveness of the athletes at international competitions. The study highlights the role of tactical flexibility and cognitive adaptation in dynamic gaming environments. Attention is focused on how important it is for the athletes and the coaching staffs not only to develop a variety of tactical plans, but also the ability to reassess quickly the game situation and adapt to the strategies of the opponents in real time. This requires players not only to have a high level of physical fitness, but also to developed cognitive abilities such as attention, concentration under stress, pressure and uncertainty. Conclusions. Success in international competitions requires not only a high level of technical, tactical and physical preparation, but also the development of effective recovery strategies, adaptation to various competition conditions and psychophysiological stress management. The study contributes to the understanding of how little-known sports can develop and achieve significant success on the international stage, highlighting the importance of intercultural and sporting exchange in the globalized world. Thus, to achieve optimal results, teams need to implement training programs that stimulate the development of both physical and mental qualities of the athletes, preparing them for the high demands of competitive activity. The results of the study are of interest not only to specialists in the field of sports science, but also to coaches, sports psychologists and managers involved in the development of handball and other sports in conditions of limited popularity and resources.

Rationing of medical care: how medical care to be distributed in conditions of limited resources

Rationing of medical care: how medical care to be distributed in conditions of limited resources

THE ROLE OF EPILEPSY IN WOMEN'S REPRODUCTIVE FUNCTION

According to the World Health Organization, epilepsy is one of the most common neurological diseases in the world, affecting about 50 million people. The overall prevalence of epilepsy in the Russian Federation in 2020 was 2.49 patients per 1,000 people, and the total number of registered epilepsy patients in Russia was 366,134 people. About 40% of epilepsy patients are women of reproductive age. The course of epilepsy in women of reproductive age has its own characteristics, which are associated with daily and monthly cyclic rhythms. Epilepsy has a wide range of physiological consequences due to antiepileptic pharmaceutical therapy. The purpose of the review is to summarize up-to-date information on the impact of epilepsy on women's reproductive health. The authors conducted a search for publications in the electronic databases PubMed, eLibrary and Google Scholar. The search strategy included the presence of the following keywords and their combinations: "epilepsy", "reproductive health", "sex hormones", "pregnancy", "menstrual cycle", "fetal", "neonatal", "epilepsy", "reproductive health", "sex hormones", "pregnancy", "menstrual cycle", "fetal", "neonatal". The search was conducted among studies published before December 2023. Women are particularly concerned about epilepsy throughout their reproductive years. Infertility rates increase as a result of the psychological stress faced by people with epilepsy and impaired physiological processes that support reproductive health. Finally, the doctor should examine the physiological effects of antiepileptic and anticonvulsant drugs. The main goal of therapy is to provide women with epilepsy with a seizure-free life, excellent overall well-being and improved health. The current plan is achievable if the practitioner is familiar with the sexual differences in the course of epilepsy at the molecular level. The limitation is that modern treatment methods cannot be available to every woman in conditions of limited resources.

RVDR-YOLOv8: A Weed Target Detection Model Based on Improved YOLOv8

Currently, weed control robots that can accurately identify weeds and carry out removal work are gradually replacing traditional chemical weed control techniques. However, the computational and storage resources of the core processing equipment of weeding robots are limited. Aiming at the current problems of high computation and the high number of model parameters in weeding robots, this paper proposes a lightweight weed target detection model based on the improved YOLOv8 (You Only Look Once Version 8), called RVDR-YOLOv8 (Reversible Column Dilation-wise Residual). First, the backbone network is reconstructed based on RevCol (Reversible Column Networks). The unique reversible columnar structure of the new backbone network not only reduces the computational volume but also improves the model generalisation ability. Second, the C2fDWR module is designed using Dilation-wise Residual and integrated with the reconstructed backbone network, which improves the adaptive ability of the new backbone network RVDR and enhances the model’s recognition accuracy for occluded targets. Again, GSConv is introduced at the neck end instead of traditional convolution to reduce the complexity of computation and network structure while ensuring the model recognition accuracy. Finally, InnerMPDIoU is designed by combining MPDIoU with InnerIoU to improve the prediction accuracy of the model. The experimental results show that the computational complexity of the new model is reduced by 35.8%, the number of parameters is reduced by 35.4% and the model size is reduced by 30.2%, while the mAP50 and mAP50-95 values are improved by 1.7% and 1.1%, respectively, compared to YOLOv8. The overall performance of the new model is improved compared to models such as Faster R-CNN, SSD and RetinaNet. The new model proposed in this paper can achieve the accurate identification of weeds in farmland under the condition of limited hardware resources, which provides theoretical and technical support for the effective control of weeds in farmland.

Simulating Civil Society in the Middle East and North Africa (MENA): Fog, Friction, and the Lebanese Port Explosion

Introduction Though the effects of fog and friction on decision-making are frequently simulated in military settings, they are less frequently extended to non-military and non-governmental MENA spaces. This article provides a description and evaluation of a disaster simulation rooted in the real-world event of the August 4, 2020 Lebanese port explosion. The aim of the simulation is to prompt student learning of the decision-making dynamics of CSOs amidst fog and friction in democratizing MENA spaces. Background A brief overview of the Lebanon-CSO landscape is provided. As part of their ruling strategy, sectarian elites engineer fog and friction to co-opt and fragment CSOs. This complex power sharing milieu creates dilemmas for CSOs. The Intervention The simulation was designed for an entire classroom of students to experience the fog and friction in decision-making that CSOs encounter in MENA conditions of limited resources and urgent humanitarian need. Methods and Limitations Student learning, framed by Bloom’s taxonomy of levels of intellectual behavior, was assessed using qualitative entry and exit classroom surveys based on three iterations of the simulation. Qualitative interpretive content analysis was used to categorize survey responses. The sample is not statistically significant given the small class sizes at the College. The study serves as an initial exploration for assessing the promising pedagogical benefits of the Lebanon port explosion simulation. Results Before the simulation, students had knowledge and understanding of CSOs, democratization, and the Lebanese context. After the simulation, student surveys yielded results that evidenced higher- ordered learning. Students discovered the challenge of applying their knowledge of Lebanese CSOs amidst fog. Next, the panel stress- testing and critical reflection essay exercises prompted an analysis and evaluation of CSOs as weak or fraught vehicles for democratization in the region. In sum, fog and friction prompted students to experience and learn how CSOs may subvert democratization in the MENA despite intentions to “do good.” Discussion The Lebanon port explosion survey data indicate the value of simulations as “experience vehicles” that may push students to higher orders of abstracted thinking about CSOs in the MENA. Conclusion Coupled with historical knowledge of co-optation and fragmentation strategies of elites vis-à-vis CSOs in Lebanon, the classroom simulation experience provided a low-cost and high-reward learning opportunity for students to grapple with the constraints and consequences of fog and friction on CSO decision-making.

THE START SORTING SYSTEM AND THE NURSE’S PARTICIPATION IN ITS IMPLEMENTATION

Introduction. This article highlights the problem of organizing the sorting of patients during mass admission to medical institutions and providing emergency medical care. The role of the nurse in conducting triage and providing emergency care at the early hospital stage is within the framework of limited resources. The urgency of working out the response protocol in the event of an emergency. The aim of the study – to determine the role of the nurse in the triage and provision of emergency care at the early hospital stage within the framework of a limited resource. To establish the relevance of the use of the START medical triage system in the practical activities of a nurse. The relevance of working out the response protocol in the event of an emergency among nurses. The main part. The medical triage system START (Simple Triage and Rapid Treatment) is an effective tool for organizing and accelerating the process of correct routing of patients in mass cases and crises when resources are limited and medical needs are high. Medical triage criteria also include signs of primary medical examination. As their professional responsibilities expand, nurses can use the ABCD algorithm to assess the patient’s condition. Knowledge of the principles of this medical triage system, the ability to provide emergency medical care, evenly and effectively distribute resources, follow the instructions of the coordinating physician, describe medical documentation, and label the patient’s category have become the duties of nurses due to the increasing frequency of emergencies. Conclusions. The START (Simple Triage and Rapid Treatment) triage system is used for prompt and efficient selection of victims during emergencies. The role of the nurse in this process is extremely important. First of all, the nurse must have skills in the application of the START triage technique and an understanding of its basics. During triage, the nurse can quickly assess the condition of each victim, determine the category, and assign the appropriate color tag. Provision of emergency medical care in conditions of limited resources, coordination, and reporting for further organization of medical care are key elements in the formation of nursing competence during triage. Using the principles of medical triage can help optimize treatment and save more lives in emergencies.

Regrowth or smart decline? A policy response to shrinking cities based on a resilience perspective

Enhancing urban resilience is increasingly crucial for cities to achieve sustainable development. However, existing studies have a limited understanding of the resilience of shrinking cities and their response policies. Taking Yichun, a typical shrinking city in China, as an example, this study constructs a system dynamics model to assess urban resilience from a subsystem perspective and explores the relationship between the dynamic development of resilience and urban shrinkage from 2008 to 2028. Then, a smart decline response policy of Yichun is put forward. The findings indicate that the evolution curve of urban resilience shows a fluctuating growth trend as a whole and that the dominant subsystems of resilience are changing. The occurrence of urban shrinkage inhibits the dynamic development of urban resilience and has various effects on the subsystems of resilience. Compared with the regrowth strategy, the smart decline strategy can effectively improve the resilience and mitigate the adverse impact of urban shrinkage on the resilience under the condition of limited resources. Resilience can be proven to be a viable perspective to help formulate a response strategy of shrinking cities. These findings will enhance comprehension of the resilience of shrinking cities and provide a reference to address urban shrinkage and formulate corresponding governance strategies.

Практики управління сільським дитячим будинком у 1947- 1953 рр.: локальний досвід.

The purpose of the study is to show the main management practices used in the institution in 1947-1953 based on the analysis of the interaction between the administration and the staff of the Starynsky Orphanage of the Boryspil district of the Kyiv region. The research methodology. The scientific approaches are based on applying the methods of social history, everyday history, and microhistory. It included the general scientific methods of analysis, synthesis, comparison, systematization, and generalization. The scientific novelty lies in an in-depth study of the experience of organizing an orphanage. Its local management practices were studied, contributing to expanding knowledge about the structure, decision-making processes, personnel policy, and daily activities of such institutions in a difficult period for Ukraine. Conclusions. The Starynsky Orphanage was formed in the year when the network of special children's institutions of the Ministry of Education in the Kyiv region increased to 29 institutions. The orphanage was placed in one of the villages of the district, the infrastructure and economic situation of which best corresponded to the possibilities of quickly satisfying the pupils with a minimum of mandatory needs. A staff of 18-20 people was engaged in the arrangement. The work was organized in compliance with the standards stipulated by the state regulatory documents. The chief manager of the institution was the director. The scope of his powers included the following: reporting on compliance with legislation to representatives of a number of district bodies; establishment of cooperation with other local managers (management of collective farms, a sugar factory, a school, a rural hospital) and with state institutions of regional subordination, included in the system of social protection of orphans; formation of staff capable of qualitatively solving the assigned tasks. Since the situation with the selection of employees was difficult (high staff turnover), the directors practiced various ways of solving it: recommendations, a trial period, combining positions, replacement by qualified personnel from representatives of the local community, or at the request of district authorities, temporary redistribution of responsibilities within the team. The experience of management activities in the Starynsky Orphanage complements the understanding of the conditions the administration had to face to ensure the institution's smooth operation in conditions of limited resources and unpredictable circumstances.

A MOBILE APPLICATION FOR THE AUTOMATED DIAGNOSIS OF DISEASES OF AGRICULTURAL CROPS AND THE SELECTION OF RECOMMENDATIONS FOR THEIR TREATMENT

The aim of the study was a mobile development based on computer vision technologies and site parsing, which allows automating the process of diagnosing diseases of agricultural crops and issuing recommendations for treatment. The article discusses methods for recognizing plant diseases using computer vision, describes the principles of convolutional neural networks, selects the most appropriate machine learning model based on the accuracy, speed and efficiency of the model in conditions of limited resources of a mobile device, describes the tools: libraries and frameworks used for development. The detailed architecture of the application is presented, as well as the results of the developed software are demonstrated. A new contribution to the development of this topic is the experimental substantiation of the choice of a neural network model based on the analysis of its effectiveness on a prepared dataset, as well as the introduction of an automatic search for recommendations for a certain disease of agriculture. In the future, it is planned to introduce a voice assistant into this mobile application.

Reservoir Computing Using Measurement-Controlled Quantum Dynamics

Physical reservoir computing (RC) is a machine learning algorithm that employs the dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this paper, we introduce a quantum RC system that employs the dynamics of a probed atom in a cavity. The atom experiences coherent driving at a particular rate, leading to a measurement-controlled quantum evolution. The proposed quantum reservoir can make fast and reliable forecasts using a small number of artificial neurons compared with the traditional RC algorithm. We theoretically validate the operation of the reservoir, demonstrating its potential to be used in error-tolerant applications, where approximate computing approaches may be used to make feasible forecasts in conditions of limited computational and energy resources.

Evaluation of an Indoor Location System Using Edge Computing and Machine Learning Algorithms

Evaluation of an Indoor Location System Using Edge Computing and Machine Learning Algorithms

Priorities of Russia's social policy in the context of global social changes

The relevance of the topic chosen by the authors is determined by the very fact of global changes in the established social order taking place in the world, which create serious risks for the "welfare state" formed in the West after the Second World War. There is a transformation of the basic principles of the modern welfare state – the principles of social solidarity and social justice, the external and internal conditions for the modern state to perform its social functions are becoming more complicated. The ongoing global social transformations fully affect Russian society, especially since it was Russia that acted as their catalyst. Their socio–economic consequences for Russia are ambiguous. The purpose of this work is to analyze the identification of priorities of social policy in modern Russia in conditions associated with both risks and new opportunities in the context of global social changes. The main methodological basis of the research is theoretical scientific methods and a systematic approach. The interdisciplinary nature of the research within the framework of the identified issues requires the involvement of both the results of sociological research and a significant amount of data from domestic and international economic statistics. It is emphasized that in the field of social policy, which is initially based on the principles of redistribution of resources through the budget system, there are no solutions that provide all Russians with prospects for economic and social well-being. Given the complexity of developing universal government solutions capable of ensuring the realization of the social interests of all population groups, in order to preserve the solidarity of Russians in conditions of instability and resource constraints, it is necessary to identify the right priorities of social policy. Accordingly, the authors analyzed the main problems and prospects in the implementation of the main priorities of the social policy of the modern Russian state: overcoming inequality and poverty, support for the participants of the SVO and their families, family and demographic policy. The authors conclude that when developing and implementing social measures, the Russian state should avoid inflating "bubbles" of social obligations. In addition, it is necessary to keep in mind the limited budget resources and avoid "life on loan". Consequently, the authors substantiate the position on the need to implement the principles of rationality, targeting, and orientation towards solving the most acute social problems of modern Russian society in conditions of limited resources.

The effectiveness of the protocol of focused ultrasound examination of the wounded and injured in combat surgical trauma

The provision of medical care in armed conflicts has several features. Ultrasound examination is one of the available and informative diagnostic methods for the wounded and injured under conditions of limited material and technical resources. The sensitivity and specificity of the diagnosis of free fluid in the abdominal cavity and pneumothorax using an extended protocol of focused ultrasound evaluation in wounded patients with combat trauma requiring surgical care were determined. A retrospective cohort study of the medical data of 85 patients with injury and chest and abdominal wounds was performed to identify the extent of damage. For this purpose, a focused ultrasound examination was performed using an extended protocol of focused ultrasound evaluation in patients with wounds and combat trauma. This protocol was applied to all victims with chest and abdominal wounds to identify the extent of damage. The results revealed that the sensitivity and specificity of the extended protocol of focused ultrasound evaluation in the wounded during combat trauma for the diagnosis of free fluid in the abdominal cavity were 100% and 66%, respectively. The sensitivity and specificity of the extended focused ultrasound evaluation protocol for the diagnosis of pneumothorax in the wounded during combat trauma were 87% and 78%, respectively. The results further confirmed the need to use an expanded protocol of focused ultrasound assessment in wounded patients with combat trauma to make decisions on the surgical techniques in settings where other diagnostic methods were not unavailable, particularly during armed conflicts with mass admission of wounded and injured patients. In addition, the use by anesthesiologists or surgeons of an extended focused ultrasound evaluation protocol for wounded patients in combat trauma is important, although teamwork is required when deciding about performing surgery.

Motivational management of enterprise innovation development in the context of limited resources and environmental influences

The article reveals the main characteristics of motivational management of the enterprise, directly related to the innovation development, especially in conditions of limited resources. The authors define the main goal of the motivation process and analyze the role of motivational management in the activities of modern enterprises and organizations. It is established that the development of an effective system motivation of employees stimulates their actions, and therefore activates and directs their actions to the development of innovative activities and contributes to increasing the level of interest in making a significant labor contribution to the achievement of the goals set by the enterprise. As a result of the research the internal and external motivational factors influencing motivational management and innovations implementation. It was found that creative activity in the innovative activity of enterprises is achieved through an optimal combination of various incentives, however, the current incentive system at enterprises is not able to effectively stimulate employees to engage in innovative activities. The authors propose the system of formation of motivational management of innovative development of the enterprise in conditions of limited resources and environmental influences. The coefficients of motivational management at the industrial enterprises in the conditions of limited resources have been calculated by means of mathematical modeling.

Rapid recovery strategy for seismic performance of seismic-damaged structures considering imperfect repair and seismic resilience

In the emergency repair process of seismic-damaged structures, it is necessary to determine the optimal repair strategy according to damage assessment results, available repair resources and repair time. In this study, the applicable conditions of various member-level and structure-level damage indexes or models are compared. Then, considering the actual conditions of limited available repair resources and repair time in the emergency repair process, the determination method of the optimal imperfect repair strategy is established. On this basis, the determination method of the optimal repair sequence is proposed by taking seismic resilience as the evaluation index. Finally, a seismic fragility analysis method that considers uniform collapse risk and residual service life of structures is introduced, which can be used to analyze the seismic performance of seismic-damaged structures and to compare the repair effectiveness of different repair strategies. Taken a 5-story reinforced concrete structure as an example for analysis. The analysis results show the optimal imperfect repair strategy and the optimal repair sequence determined by the proposed methods can effectively improve the seismic performance of seismic-damaged structures. The fragility analysis results further confirm that the repair based on the optimal imperfect repair strategy can effectively reduce the collapse risk of seismic-damaged structures.

An Analysis of the Application of Financial Sharing System in Securities Companies

With the development of economic globalisation and information technology, under the condition of limited resources, searching for new economic growth points and enterprise growth models, resource integration has become the key to implementing enterprise goals, and financial shared services have emerged. Enterprises with large-scale, widely distributed branches, financial sharing can integrate all kinds of resources in the enterprise, through the business module to optimise the process, so that the process between different regions and the accounting system tends to standardise and unify,Finance staff in all positions can familiarise themselves with the business dealing with branch matters. The securities industry has also continued to strengthen the integration of digital technology and business applications, moving towards standardisation, systemisation and intelligence. This paper briefly describes the meaning and development history of the financial sharing model, explains the development history and development status of the securities industry, and briefly analyses the application of financial sharing in the overall construction of the securities company's finances.