Design and analysis of an advanced thermal management system for the solar close observations and proximity experiments spacecraft

In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relationship and functions of the integrated database,the intelligent thermal control system and the efficient liquid cooling system in the ATMS are elaborated upon.For the complex thermal field regulation system and extreme space thermal environment,a modular simulation and thermal field planning method are proposed,and the feasibility of the planning algorithm is verified by numerical simulation.A solar array liquid cooling system is developed,and the system simulation results indicate that the temperatures of the solar arrays meet the requirements as the spacecraft flies by perihelion and aphelion.The advanced thermal management study supports the development of the SCOPE program and provides a reference for the thermal management in other deep-space exploration programs.

Practical Experience of Management of Urban Parks at Home and Abroad

By systematically reviewing the practical experience of management of urban parks at home and abroad,the advanced experience in organization,management system,operation mechanism and social participation were summarized,and the optimization and improvement measures for the construction and management of urban parks in Chengdu were proposed to provide reference for the high-level construction,high-quality experience and efficient management of urban parks in the construction of park city demonstration zone in Chengdu.

Optimization of Interactive Videos Empowered the Experience of Learning Management System

The Learning management system(LMS)is now being used for uploading educational content in both distance and blended setups.LMS platform has two types of users:the educators who upload the content,and the students who have to access the content.The students,usually rely on text notes or books and video tutorials while their exams are conducted with formal methods.Formal assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive mode.The aim is to design an interactive LMS and examination video-based interface to cater the issues of educators and students.It is designed according to Human-computer interaction(HCI)principles to make the interactive User interface(UI)through User experience(UX).The interactive lectures in the form of annotated videos increase user engagement and improve the self-study context of users involved in LMS.The interface design defines how the design will interact with users and how the interface exchanges information.The findings show that interactive videos for LMS allow the users to have a more personalized learning experience by engaging in the educational content.The result shows a highly personalized learning experience due to the interactive video and quiz within the video.

Impacts of COVID-19 on tourism and management response from Banff National Park,Canada

The COVID-19 pandemic posed challenges to the tourism sector globally.We investigated changes in visitor demographics,satisfaction level,and its determinants pre-and peri-COVID-19.Data were collected using questionnaire surveys in 2019 and 2021 within Banff National Park(BNP).The data analyses were based on a sample size of 1183 respondents by conducting factor analysis,correlation analysis and stepwise regression analysis.Results highlight that there were fewer international visitors and more local and domestic visitors during the pandemic.Park attributes were evaluated at a higher satisfaction level peri-COVID-19.The quality of the Park facilities and services were the most important satisfaction determinants pre-and peri-COVID-19,and all the Park COVID-19 measures and actions received positive experience from visitors.This research fills this knowledge gap by developing a better understanding in the change of visitor demographics and satisfaction level in BNP under the context of the pandemic.It also provides implication for both scholars and practitioners to understand the impacts of the pandemic on Park visitation.The study can provide insights for utilizing the pandemic as a transformative strength and for mitigating its negative impact on tourism industry.

Innovative Applications of Patient Experienee Big Data in Modern Hospital Management Improve Healthcare Quality

It is important for modern hospital management to strengthen medical humanistic care and build a harmonious doctor-patient relationship.Innovative applications of the big data resources of patient experience in modern hospital management facilitate hospital management to realize real-time supervision,dynamic management and s&entitle decision-making based on patients experiences.It is helping the transformation of hospital management from an administrator^perspective to a patients perspective,and from experience-driven to data-driven.The technological innovations in hospital management based on patient experience data can assist the optimization and continuous improvement of healthcare quality,therefore help to increase patient satisfaction to the medical services.

The Planning Management Experience and Enlightenment of the Cityscape Inheritance of the Ancient City of Yangzhou

China is currently facing the problem of large-scale destruction of the overall cityscape brought about by the rapid development of the city. The optimization of urban stocks and the improvement of urban quality have become the necessary paths for major cities to improve their urban soft power and obtain secondary economic growth. At present, most cities in China are still in the exploratory period of the protection of the cityscape, facing the dilemma of various ways but poor effects. Since the 1990 s, Yangzhou has begun to protect and inherit the cityscape, accumulating systematic protection methods and retaining the complete cityscape. This paper analyzed the characteristic cityscape of the ancient city of Yangzhou, sorted out its strategic methods in the planning management, and summarized the local experience in the inheritance of the characteristic cityscape, in order to provide a reference for China's future cityscape protection work.

Does Customer Experience Management Impact Customer Loyalty Shopping at Supermarket？ The Case in the Mekong Delta, Vietnam

This research analyzes and answers the question ＂Does customer experience management impact to customer loyalty shopping at supermarket, in the case of Mekong Delta, Vietnam？＂, 321 customers of supermarkets in the Mekong Delta were interviewed by questionnaire. The descriptive statistics, factor analysis, Cronbach＇s alpha, structural equation modeling, and multi-group structural analysis methods were used in this study. The results confirm that customer experience management impacts to customer loyalty shopping at supermarkets. There are six components of customer experience management including brand name, space, commodity, staff, parking lot, and the presence of other stores in supermarkets. In particular, the commodity composition has the strongest impact on customer experience management and satisfaction and directly influences on customer loyalty. In addition, elements of customer experience management affect customer loyalty indirectly through sensory experience, social experience, and satisfaction. The results of multivariate analysis show that age group, spending per shopping at supermarkets, and marital status of the client do not change the relationships in the research model. Meanwhile, the relationship of the different models of the client group income, gender, education, occupation and customers is different. This study adds value to consumer behavior and customer experience management literature.

MANAGEMENT OF MENEERE'S DISEASE—THE BEIJING TIANTAN HOSPITAL EXPERIENCE

Objective To report outcomes of nonsurgical and surgical management of Menire＇s disease at Beijing Tiantan Hospital. Methods Patients with Menire＇s disease were categorized into groups based on hearing and quality of life. Individualized management was provided, including life style modification, drug therapies, endolymphatic sac decompression and labyrin- thectomy. Treatment outcomes were evaluated during up to 24 months follow up. Results Eighty seven patients underwent life style modification and drug therapies. The vertigo control rate of Grade A and B was 76.9% and 83.8% respectively. Six patients received surgical management, including endolymphatic sac decompression （n = 5） and labyrinthecto- my （n = 1）. For these patients, the vertigo control rate of Grade A and B was 80% and 100%, respectively. Conclu- lsions Management of Meni6re＇s disease depends on several factors, i.e. severities of vertigo and hearing loss, quality of life, surgical contraindications and patient subjective desire. The treatment is drug therapies for the majority of patients, as well as life style modification. Surgical indications are rare and the least invasive procedures should be considered first. The results of surgery are generally satisfying.

Energy management of buildings with energy storage and solar photovoltaic:A diversity in experience approach for deep reinforcement learning agents

Deep reinforcement learning(DRL)is a suitable approach to handle uncertainty in managing the energy consumption of buildings with energy storage systems.Conventionally,DRL agents are trained by randomly selecting samples from a data set,which can result in overexposure to some data categories and under/no exposure to other data categories.Thus,the trained model may be biased towards some data groups and underperform(provide suboptimal results)for data groups to which it was less exposed.To address this issue,diversity in experience-based DRL agent training framework is proposed in this study.This approach ensures the exposure of agents to all types of data.The proposed framework is implemented in two steps.In the first step,raw data are grouped into different clusters using the K-means clustering method.The clustered data is then arranged by stacking the data of one cluster on top of another.In the second step,a selection algorithm is proposed to select data from each cluster to train the DRL agent.The frequency of selection from each cluster is in proportion to the number of data points in that cluster and therefore named the proportional selection method.To analyze the performance of the proposed approach and compare the results with the conventional random selection method,two indices are proposed in this study:the flatness index and the divergence index.The model is trained using different data sets(1-year,3-year,and 5-year)and also with the inclusion of solar photovoltaics.The simulation results confirmed the superior performance of the proposed approach to flatten the building’s load curve by optimally operating the energy storage system.

Research Progress of Parallel Control and Management

Based on ACP(artificial systems,computational experiments,and parallel execution)methodology,parallel control and management has become a popularly systematic and complete solution for the control and management of complex systems.This paper focuses on summarizing comprehensive review of the research literature of parallel control and management achieved in the recent years including the theoretical framework,core technologies,and the application demonstration.The future research,application directions,and suggestions are also discussed.

Land Management Effects on Biogeochemical Functioning of Salt-Affected Paddy Soils

Most lowlands in Northeast Thailand(Isaan region)are cultivated with rice and large areas are affected by salinity, which drastically limits rice production.A field experiment was conducted during the 2003 rainy season to explore the interactions between salinity and land management in two fields representative of two farming practices:an intensively managed plot with organic inputs and efficient water management,and one without organic matter addition.Field measurements,including pH,Eh,electrical conductivity(EC),and soil solution chemistry,were performed at three depths, with a particular focus on Fe dynamics,inside and outside saline patches. High reducing conditions appeared after flooding particularly in plots receiving organic matter and reduction processes leading to oxide reduction and to the release of Fe and,to a lesser extend,Mn to the soil solution.Oxide reduction led to the consumption of H^+ and the more the Fe reduction was,the higher the pH was,up to 6.5.Formation of hydroxy-green rust were likely to be at the origin of the pH stabilization.In the absence of organic amendments,high salinity prevented the establishment of the reduction processes and pH value remained around 4.Even under high reduction conditions,the Fe concentrations in the soil solution were below commonly observed toxic values and the amended plot had better rice production yield.

Optimization of Grouping Evacuation Strategy in High-rise Building Fires Based on Graph Theory and Computational Experiments

It is difficult to rescue people from outside, and emergency evacuation is still a main measure to decrease casualties in high-rise building fires. To improve evacuation efficiency, a valid and easily manipulated grouping evacuation strategy is proposed. Occupants escape in groups according to the shortest evacuation route is determined by graph theory. In order to evaluate and find the optimal grouping, computational experiments are performed to design and simulate the evacuation processes. A case study shown the application in detail and quantitative research conclusions is obtained. The thoughts and approaches of this study can be used to guide actual high-rise building evacuation processes in future.

Caching resource management of mobile edge network based on Stackelberg game

Mobile edge caching technology is gaining more and more attention because it can effectively improve the Quality of Experience (QoE) of users and reduce backhaul burden. This paper aims to improve the utility of mobile edge caching technology from the perspectie of caching resource management by examining a network composed of one operator, multiple users and Content Providers (CPs). The caching resource management model is constructed on the premise of fully considering the QoE of users and the servicing capability of the Base Station (BS). In order to create the best caching resource allocation scheme, the original problem is transformed into a multi-leader multi-follower Stackelberg game model through the analysis of the system model. The strategy combinations and the utility functions of players are analyzed. The existence and uniqueness of the Nash Equilibrium (NE) solution are also analyzed and proved. The optimal strategy combinations and the best responses are deduced in detail. Simulation results and analysis show that the proposed model and algorithm can achieve the optimal allocation of caching resource and improve the QoE of users.

Discrete optimization models and methods for management systems of pavement maintenance and rehabilitation

With the rapid development of highway construction and formation of the highway network in China,the man- agement of pavement maintenance and rehabilitation （MR） activities has become important.In this paper,four discrete optimization models are proposed for different parties involved in the management system： government,highway agent,con- tractor and the common users.These four optimal decision models are formulated as linear integer programming problems with binary decision variables.The objective function and constraints are based on the pavement performance and prediction model using the pavement condition index （PCI）.Numerical experiments are carried out with the data from a highway system in Sichuan Province which show the feasibility and effectiveness of the proposed models.

HAS Dynamic Buffer-Driven Resource Management to Enhance QoE in Mobile Network

Hypertext transfer protocol(HTTP) adaptive streaming(HAS) plays a key role in mobile video transmission. Considering the multi-segment and multi-rate features of HAS, this paper proposes a buffer-driven resource management(BDRM) method to enhance HAS quality of experience(QoE) in mobile network. Different from the traditional methods only focusing on base station side without considering the buffer, the proposed method takes both station and client sides into account and end user's buffer plays as the drive of whole schedule process. The proposed HAS QoE influencing factors are composed of initial delay, rebuffering and quality level. The BDRM method decomposes the HAS QoE maximization problem into client and base station sides separately to solve it in multicell and multi-user video playing scene in mobile network. In client side, the decision is made based on buffer probe and rate request algorithm by each user separately. It guarantees the less rebuffering events and decides which HAS segment rate to fetch. While, in the base station side, the schedule of wireless resource is made to maximize the quality level of all access clients and decides the final rate pulled from HAS server. The drive of buffer and twice rate request schemes make BDRMtake full advantage of HAS's multi-segment and multi-rate features. As to the simulation results, compared with proportional fair(PF), Max C/I and traditional HAS schedule(THS) methods, the proposed BDRM method decreases rebuffering percent to 1.96% from 11.1% with PF and from 7.01% with THS and increases the mean MOS of all users to 3.94 from 3.42 with PF method and from 2.15 with Max C/I method. It also guarantees a high fairness with 0.98 from the view of objective and subjective assessment metrics.

A Qualitative Study of Manager Experiences Using the RAFAELA System

Objective: The objective was to explore manager experiences using the RAFAELA system. Background: The RAFAELA system was developed in Finland during the 1990s to create a work situation where patients’ care needs were balanced with personnel resources. The system is used in almost all hospitals in Finland and is implemented in several European countries. However, the system has never been evaluated outside Finland. This study, focusing on the managers’ perspective, represents the second report from a larger Norwegian evaluation project of the RAFAELA system. Methods: An explorative qualitative design was chosen. Data were collected by individual in-depth interviews at a university hospital in Norway during 2012-2013. A total of 10 informants in various management positions were interviewed. The tape-recorded interviews were transcribed verbatim, and the transcripts were analysed using Kvale’s method for content analysis. Results: Four main themes emerged from the qualitative data: making the invisible visible;a common language;a system for prospective planning;and a resource-demanding tool. Conclusions: The study indicated that the RAFAELA system provided useful information about the patients’ care needs and nursing activities. Also the system provided a common reference frame for discussing nursing, staffing and allocation. Although the managers considered the RAFAELA to be time consuming in the implementation phase, they considered the system to be an important tool.

An Experiment on Releasing Water from Water Tanks by Xu Youzhen during the Ming Dynasty

In 1453,Xu Youzhen,a scholar-bureaucrat and hydrologist in Ming China,was dispatched to Shandong to find a way to harness the Yellow River.He proposed the opening up of multiple channels to diverge the flood waters.An experiment was conducted to compare the efficiency of releasing water using one large opening with the use of a number of small openings.This experiment proved that opening up multiple channels outperformed the construction of only one,thereby convincing the emperor and officials of the efficacy of this method.Xu’s method for water control proved to be successful in averting a flood that occurred in 1456.

An Analysis on Cultural Operation & Management for Catering

The overall competence of the employed in the catering industry, whether in terms of service concept, knowledge or professional skills, lacks behind the development of the industry. Since the competition remains to be the theme of the market economy, how to establish an unassailable position in the growing market economy which values survival of the fittest is what has been long studied and discussed among catering enterprises. Although catering business belongs to traditional labor-intensive service industry, it is against the backdrop of "demographic dividend" being turned into "talents dividend" that the cultivation of catering talents becomes of great importance. Besides, the trend of branding will be even more intensifying and innovation will certainly serve as a significant approach to the improvement of competitiveness among catering enterprises. As public catering becomes a main current in today's catering business — an accurate market positioning and food dishes get to be more exquisite and diversified with health elements taken into top priority, brand power stands to be the recipe for winning the competition. Moreover, the strategy of enterprises development through culture is an irreversible trend in modern catering operation and management. Furthermore, the education and artistic cultivation serve as core competence of modern catering enterprises and the employed.