Lvis支架与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤的临床效果及预后对比研究

目的对比分析Lvis支架与Enterprise支架辅助弹簧圈栓塞对颅内宽颈动脉瘤患者栓塞效果、预后效果的影响及安全性。方法回顾性分析青海红十字医院2020年9月至2023年9月收治的147例颅内宽颈动脉瘤患者的临床资料,所有患者均行支架辅助弹簧圈栓塞术治疗,根据所使用的不同支架分为Enterprise支架组(72例,动脉瘤个数74枚)和Lvis支架组(75例,动脉瘤个数78枚)。比较两组患者术后即刻Raymond分级情况、并发症发生率、出院时和出院后6个月改良Rankin量表(m RS)评分。结果Lvis支架组患者术后即刻Raymond分级Ⅰ级占比高于Enterprise支架组,Ⅱ级、Ⅲ级占比低于Enterprise支架组(P<0.05);两组患者手术相关并发症总发生率,出院时和出院后6个月mRS评分比较,差异均无统计学意义(均P>0.05)。结论与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤相比,Lvis支架在术后即刻的栓塞效果更佳,但两种支架手术相关并发症和术后短期预后情况相当。

The Multi-Agent Modeling and Calculated Analysis of Shop Logistics Scheduling in the Manufacturing Enterprises

In this paper,the multi-agent model about shop logistics is set up. This model has 8 agents: raw materials stock agent,process agent,testing agent,transition agent,production information agent,scheduling agent,process agent and stock agent. The scheduling agent has three subagents: manager agent (MA),resource agent (RA) and part agent (PA). MA,PA and RA are communicating equally that guarantees agility of the whole MAS system. The part tasks pass between MA,RA and PA as an integer,which can guarantee the consistency of the data. We use a detailed example about shop logistics scheduling in a semiconductor company to explain the principle. In this example,we use two scheduling strategies: FCFS and SPT. The result data indicates that the average flow time and lingering ratio are changed using different strategy. It is proves that the multi-agent scheduling is useful.

Role of mountains and rivers in the formation of logistics enterprises'spatial pattern in the central urban areas of Chongqing

The complex landforms of a Shan-shui City(Shan-shui refers to mountains and rivers)significantly impact the selection of locations for logistics enterprises.This paper takes Chongqing,one of the most typical Shan-shui Cities in China,as the research object,and adopts spatial analysis methods and a mediating effect model,to explore the role of mountains and rivers in the formation of logistics enterprises’spatial pattern on the street scale.The study results reveal that 90% of the logistics enterprises in the central urban areas of Chongqing are located in the low-altitude area below 353m above sea level,and distributed in a north-south direction along the mountains,as a result of blockage by mountain ranges,such as those of Zhongliang Mountain and Tongluo Mountain.More than 70% of the logistics enterprises are located less than 5 km from either the Yangtze River or Jialing River,spreading along the rivers.In addition,more than half of the logistics enterprises in commercial and financial,and residential land are located within the urban core area,while 80.83% of the logistics enterprises located in warehousing land and industrial land are concentrated in the urban expansion area.In areas with high land prices,the negative effect of altitude on logistics enterprise agglomeration is weakened,while the promotion effect of river proximity on logistics enterprise agglomeration is enhanced.In the urban core area with the advantage of low altitude and proximity to the Jialing and Yangtze Rivers,the role of mountains and rivers on logistics enterprises is not apparent;in contrast,in the urban expansion area with more complex landforms,land price can be an effective means for the government to macro-manage the spatial pattern of logistics enterprises in a Shan-shui City.

Study on Business Process Reengineering for Chinese Traditional Logistics Enterprises

In this paper, after analyzing the predicaments that Chinese traditional logistics enterprises face while launching modem logistics services, the theory of reforming Chinese traditional logistics enterprises with Business Process Reengineering （BPR） is put forward. Then the basic implementation principles are discussed, and the steps of BPR are also analyzed for Chinese logistics enterprises. Moreover, five relevant measures of ensuring the success of BPR for them are concept reengineering, system reengineering, organization reengineering, culture reengineering and technology reengineering.

Research on the Innovation Development Strategy of Logistics Enterprises under the New Norma Condition of Economy

Under the new normal economy, the scale of logistics in China has continued to expand, and the logistics operating environment has also been significantly improved, but there are still some development difficulties. On the basis of analyzing the characteristics and predicaments of logistics development, this article points out the opportunities for development, and puts forward that China＇s logistics companies should adapt to changes in the economic environment, take the initiative to carry out technological innovation, model innovation and cultural innovation, and oromote the healthy and sustainable develonment oflogistics enterprises.

Research on Enterprise Logistics Management System based on Internet of Things

Through the analysis of the feasibility of using network technology and network technology in supply chain management system, the paper puts forward the design framework of supply chain management system based on the lntemet of things, describes the key technology of the system. The application of Intemet of things in the supply chain management system, that will realize the effective management of the whole supply chain; enhance the competitiveness of enterprises and the whole supply chain.

A Research on Evaluation System of Enterprise Logistics Management Maturity

Comprehensive measure and objectively reflect the maturity of enterprise logistics management is an important topic in business management. This paper, based on fuzzy evaluation method, constructs the evaluation index system of enterprise logistics management maturity, takes production-oriented enterprises for example, and explores the establishment of enterprise logistics management maturity evaluation system.

Strategic Research on China＇s Enterprises Green Logistics

Based on the principle of sustainable development, this paper analyzes the connotation of green logistics, and the problems in the development and the system in China. It also puts forward the strategy in the implement of green logistics of China＇s enterprises.

An integrated operation mode for green logistics of enterprises

The integrated operation mode of green logistics is a new enterprise＇s logistics operation and management mode concerning, environment issues based on the traditional integrated mode. Through comparative study on the integrated operation mode of logistics based on self.operation, the operation mode of an integrated logistics of enterprises based on TPL the green-supply chain management, and the operation mode of eco-iadustrial park （EIP）, a relatively complete objective system structure is put forward for the integrated operation mode of green logistics of enterprises. Furthermore, the correspondent practical mode is also set up to help enterprises, especially for the manufacturing companies, not only improve the environment effectively, but support the technological framework for the enterprise＇s economic performance and social benefits in order to realize economic, social and environmental benefits are concerned.

普外科术中低体温发生情况Logistics回归分析及预测模型构建

目的探讨普外科术中低体温发生的风险因素,构建并验证术中低体温发生的风险预测模型。方法选取2020年12月至2022年12月在本院接受普外科手术的117例患者作为观察对象。收集患者临床资料,根据患者术中是否发生低体温将其分为发生低体温组(A组)和未发生低体温组(B组)。Logistic回归分析影响患者普外科术中发生低体温的危险因素,并建立风险预测模型,受试者工作特征曲线(ROC)检测该模型的预测效能。结果117例患者中发生低体温31例(26.49%),未发生低体温86例(73.50%)。两组患者在年龄、体重指数、手术方式、ASA分级、术中输液量、手术室温、手术时间等方面比较,差异具有统计学意义(P<0.05)。Logistic回归分析结果显示,年龄≥65岁、术中输液量≥1000 mL、麻醉时间≥4 h、手术室温<23℃是普外科术中发生低体温的危险因素(P<0.05)。独立危险因素纳入Logistic回归分析并建立预测模型,模型预测概率P=1/[1+e(-1.020+0.874)×(年龄)+1.114×(术中输液量)+1.556×(手术室温)+1.453×(麻醉时间)]。ROC曲线检验该模型预测效能,结果显示ROC曲线下面积(AUC)=0.754(P<0.05);Hosmer-Lemeshow拟合优度检验显示,χ^(2)=1.001,P=0.998。结论患者年龄、术中输液量、麻醉时间、手术室温是普外科患者术中发生低体温的独立危险因素,Logistic风险预测模型拟合效度好,具有较高预测价值。

Research on the Logistics Cost and Enterprise Operation Efficiency with the Influences on International Trade

In this paper, we conduct research on the logistics cost and enterprise operation efficiency with the influences on international trade. With the deepening of the reform of the market economic system in our country, and the advancement of the reform of state-owned enterprises and government function transformation, the company is out of the shackles of the planned economy as the main body of market competition, at the same time, government regulators and investors in a state-owned capital market, all kinds of financial intermediaries and the information intermediary organizations, as well as the associated with the interests of closely linked to the enterprise value creation main body, including business owners and operators have yet to establish a timely to adapt to the market economy system. With this guidance, we propose the novel international trade paradigm for the companies that will enhance the efficiency of the general management.

The improvement of the logistics management in the modem enterprises

With the increasing development of the logistics industry in China, more and more enterprises increasingly emphasis on logistics management, and initially have made certain achievements in logistics management to carry out the majority of small and medium enterprises in China which is less than ideal. The logistics has great potential in reducing costs. This article discusses the mode of operation of the enterprise logistics management. And it has an important significance to constantly optimize enterprise logistics, to improve logistics management and the competitiveness of SMEs in China.

Enterprise 2支架治疗颅内动脉瘤的临床效果分析

目的 研究分析颅内动脉瘤在临床治疗环节中Enterprise 2支架的应用效果。方法 选取2021年6月—2022年12月在本院接受治疗的60例颅内动脉瘤患者展开试验分析,按照其治疗方式进行分组,将采用Enterprise 2支架展开治疗的患者作为观察组,选择保守治疗的患者30例作为对照组,对比两组患者治疗成功率以及临床症状改善情况。结果 经治疗,观察组患者治疗成功率显著高于对照组(P<0.05);经过6个月的随访发现,观察组患者临床症状改善情况显著优于对照组,差异具有统计学意义(P<0.05);观察组患者满意度显著优于对照组,差异具有统计学意义(P<0.05)。结论 Enterprise 2支架治疗操作比较简单,并且可以取得良好的治疗效果,相较于保守治疗而言,治疗效果显著,可以有效改善患者预后,值得在临床推广应用。

Based on the Incentive Mechanism of Enterprise Reverse Logistics Research Literature Review

In recent years, along with the people environmental protection consciousness enhancement and the concept of circular economy enterprises to implement reverse logistics is imperative. In recent years, based on the incentive mechanism of reverse logistics literature has gradually emerged. In this paper, the concept of reverse logistics are introduced in detail, and compares the forward logistics and reverse logistics, analyzes the driving factor for the formation of reverse logistics, from the Angle of the government and the enterprise two introduces the related literature, the incentive mechanism on the basis of the summary, summarized the problems of enterprise reverse, government incentives for enterprises is discussed the importance of reverse logistics, based on the existing research results in recent years to sum up, the paper further research are pointed out.

Study on the Self-supporting Logistics Mode based on B2C E-commerce Enterprises

Taking B2C E-commerce enterprises as the center, it can be divided into a set of logistics activities upstream supply chain logistics producer to B2C e-commerce enterprises, and the B2C e-commerce enterprise logistics to client consumer, and the paper focuses on the study of self-supporting logistics for the E-commerce enterprise. According to the development status of current B2C electronic commerce enterprise in our country and logistics, the paper study B2C electric business enterprise how to correctly choose the logistics mode and how to promote the business logistics operation level.

基于logistics回归模型的山洪泥石流风险评估

山洪泥石流作为一种常见的自然灾害,其突发性和破坏性给人类社会的生产生活带来了巨大的威胁。在全球气候变暖的背景下,山洪泥石流的发生频率和破坏力呈现增加趋势。通过采用有序logistics回归模型,对四川省北川羌族自治县地区山洪泥石流危险性进行了定量化评估,选取流域切割密度、流域相对高差、主沟长度、50年一遇泥石流规模等多个关键因素,构建了logistics回归模型进行危险性评估。根据模型结果发现,主沟长度和50年一遇规模的影响最为显著。本文不仅对山洪泥石流风险进行了较为精确的定量化评估,同时也为防治措施的制定提供了科学依据。

The Construction of Practice of Logistics Management Based on School-Enterprise Cooperation

Logistics management is a very practical professional. How to cultivate applied Talents for the logistics industry needs to is a question to logistics management professional.This paper talk about the practice in terms of personnel training mode, curriculum system, practice and practice base construction and faculty building according to the actual situation of their own practice of logistics experience.

Contract Mechanism of Water Environment Regulation for Small and Medium Sized Enterprises Based on Optimal Control Theory

The small and scattered enterprise pattern in the county economy has formed numerous sporadic pollution sources, hindering the centralized treatment of the water environment, increasing the cost and difficulty of treatment. How enterprises can make reasonable decisions on their water environment behavior based on the external environment and their own factors is of great significance for scientifically and effectively designing water environment regulation mechanisms. Based on optimal control theory, this study investigates the design of contractual mechanisms for water environmental regulation for small and medium-sized enterprises. The enterprise is regarded as an independent economic entity that can adopt optimal control strategies to maximize its own interests. Based on the participation of multiple subjects including the government, enterprises, and the public, an optimal control strategy model for enterprises under contractual water environmental regulation is constructed using optimal control theory, and a method for calculating the amount of unit pollutant penalties is derived. The water pollutant treatment cost data of a paper company is selected to conduct empirical numerical analysis on the model. The results show that the increase in the probability of government regulation and public participation, as well as the decrease in local government protection for enterprises, can achieve the same regulatory effect while reducing the number of administrative penalties per unit. Finally, the implementation process of contractual water environmental regulation for small and medium-sized enterprises is designed.

Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.

Optimizing Enterprise Conversational AI: Accelerating Response Accuracy with Custom Dataset Fine-Tuning

As the realm of enterprise-level conversational AI continues to evolve, it becomes evident that while generalized Large Language Models (LLMs) like GPT-3.5 bring remarkable capabilities, they also bring forth formidable challenges. These models, honed on vast and diverse datasets, have undoubtedly pushed the boundaries of natural language understanding and generation. However, they often stumble when faced with the intricate demands of nuanced enterprise applications. This research advocates for a strategic paradigm shift, urging enterprises to embrace a fine-tuning approach as a means to optimize conversational AI. While generalized LLMs are linguistic marvels, their inability to cater to the specific needs of businesses across various industries poses a critical challenge. This strategic shift involves empowering enterprises to seamlessly integrate their own datasets into LLMs, a process that extends beyond linguistic enhancement. The core concept of this approach centers on customization, enabling businesses to fine-tune the AI’s functionality to fit precisely within their unique business landscapes. By immersing the LLM in industry-specific documents, customer interaction records, internal reports, and regulatory guidelines, the AI transcends its generic capabilities to become a sophisticated conversational partner aligned with the intricacies of the enterprise’s domain. The transformative potential of this fine-tuning approach cannot be overstated. It enables a transition from a universal AI solution to a highly customizable tool. The AI evolves from being a linguistic powerhouse to a contextually aware, industry-savvy assistant. As a result, it not only responds with linguistic accuracy but also with depth, relevance, and resonance, significantly elevating user experiences and operational efficiency. In the subsequent sections, this paper delves into the intricacies of fine-tuning, exploring the multifaceted challenges and abundant opportunities it presents. It addresses the technical intricacies of data integration, ethical considerations surrounding data usage, and the broader implications for the future of enterprise AI. The journey embarked upon in this research holds the potential to redefine the role of conversational AI in enterprises, ushering in an era where AI becomes a dynamic, deeply relevant, and highly effective tool, empowering businesses to excel in an ever-evolving digital landscape.