Application of Nursing Cooperation Path in Operating Room and Analysis of Complication Rate During Laparoscopic Hysterectomy

Objective:To explore the clinical benefits achieved by implementing the operating room nursing cooperation path for patients undergoing laparoscopic hysterectomy.Methods:64 laparoscopic hysterectomy cases were divided into groups according to the order of admission.The control group received routine perioperative care.The observation group implemented the nursing cooperation path in the operating room on the same basis as the control group.The two groups’physiological responses,stimulus indicators,anxiety,and complication rates were compared.Results:The heart rate,blood pressure 0.5 hours after surgery,anxiety scores 1 day before and 3 days after surgery,and the total number of complications in the observation group were all lower than those in the control group(P<0.05).Conclusion:The development of a nursing cooperation path in the operating room can help patients undergoing laparoscopic hysterectomy reduce heart rate,blood pressure,stress responses,and the risk of complications,and is worthy of promotion.

Overview of Key Technologies for Remote Wireless Operation Platform on Water Surface

The underwater environment is complicated and full of hazards,making it tough to complete with just one piece of underwater operation equipment.Building a high-speed,low-latency wireless connection between a remote wireless operation platform on water surface and other operation platforms in order to achieve long-distance transmission of high-definition image data and control commands,as well as collaborative operations among multiple platforms,has become a development trend and focus of exploring complex and dangerous waters.This paper summarizes and elaborates on underwater communication technology,long-distance data transmission technology,multi-submersible robot collaborative operation,and information interaction technology,as well as the development status of key technologies of remote wireless operation platform on water surface.And the research direction and focus of the remote wireless operation platform on water surface are prospected.

Designing price-contingent vegetable rotation schedules using agent-based simulation

Chinese vegetable production cooperatives supply their members, mostly smallholder farmers, with a rotation schedule for the year. Since vegetable prices are not stable throughout the year, designing a rotation schedule that maximizes expected profits, distributes farmers＇ profits more equitably, maintains the diversity of produce in the market, and reduces the risk of pests and diseases, requires adaptive, price-contingent rotation schedules（here, called ＂self-adaptive adjustment＂）. This study uses an agent-based simulation（ABS） to design self-adaptive rotation schedules that deliver these aims. The selfadaptive adjustment strategy was more profitable for farmers when faced with price volatility, and more equitable as well. This work provides a decision-support tool for managers of Chinese vegetable production cooperatives to provide farmers with more profitable and equitable rotation schedules.

Operating in Tandem Chinese experts in Sao Tome and Principe cooperate with local farmers to raise medical standards in the breeding industry

Santomean pig farmer Simao Vicente was hopeful when he came to ask Zou Rui for help. His pig was suffering from hernia, and Zou, a 42-year-old Chinese agricultural expert working in Sao Tomé and Príncipe, was the only person on the island who could provide emergency surgery.

Current development and future prospects of multi-target assignment problem:A bibliometric analysis review

The multi-target assignment(MTA)problem,a crucial challenge in command control,mission planning,and a fundamental research focus in military operations,has garnered significant attention over the years.Extensively studied across various domains such as land,sea,air,space,and electronics,the MTA problem has led to the emergence of numerous models and algorithms.To delve deeper into this field,this paper starts by conducting a bibliometric analysis on 463 Scopus database papers using CiteSpace software.The analysis includes examining keyword clustering,co-occurrence,and burst,with visual representations of the results.Following this,the paper provides an overview of current classification and modeling techniques for addressing the MTA problem,distinguishing between static multi-target assignment(SMTA)and dynamic multi-target assignment(DMTA).Subsequently,existing solution algorithms for the MTA problem are reviewed,generally falling into three categories:exact algorithms,heuristic algorithms,and machine learning algorithms.Finally,a development framework is proposed based on the"HIGH"model(high-speed,integrated,great,harmonious)to guide future research and intelligent weapon system development concerning the MTA problem.This framework emphasizes application scenarios,modeling mechanisms,solution algorithms,and system efficiency to offer a roadmap for future exploration in this area.

Low-carbon and economic operation of energy hub considering cooperative operation strategy with wind farm and photovoltaic station

With growing demands for carbon emission reductions,stringent policies necessitate the transition towards low-carbon,costeffective energy hub(EH)operations.Leveraging the integration of renewable energy sources,especially wind farms(WF)and photovoltaic(PV)stations,offers a significant opportunity for carbon emission reduction in EHs.This study introduces a method promoting low-carbon,economical operations for EHs in collaboration with WFs and PV stations.The research first outlines carbon emission dynamics for EHs in both cooperative and independent scenarios.Next,the study develops operational benefit models for WFs,PV stations,and EHs,factoring in the multifaceted electricity transactions between these entities and the main power grid.An optimization approach rooted in Nash bargaining gets introduced for the combined operation of WFs,PV stations,and EHs,accompanied by a decentralized algorithm to determine the Nash solution.The case study reveals that,against standalone operations,the cooperative strategy enhances operational gains for WFs and PV stations by 17.28% and 11.58% respectively while reducing EH operational costs and carbon emissions by 9.31%and 6.75%.