Analysis on the Causes of Existing Problems of Professional Knowledge of Western Rural Teachers Under the Urban and Rural Educational Planning Background

This paper adopts the self-designed questionnaire to make investigations and interviews with the rural middle and primary school teachers in Chengdu and Chongqing districts about the professional development problems of western rural teachers, and refers to the educational literature materials in western rural areas. Through a comprehensive analysis, it is known that the professional knowledge status of western rural teachers is worrying, and the reason is mainly caused by the location, policy, economy, society, continuing education and teachers＇ own factors.

Role of Metacognition in Mathematical Problem Solving Process of Permutations and Combinations--Basic Study for CAI Software Development

When solving a mathematical problem, we sometimes encounter a situation where we can not reach a correct answer in spite of acquiring knowledge and formula necessary for the solution. The reason can be attributed to the lack in metacognitive abilities. Metacognitive abilities consist of comparing the difficulty of problem with own ability, proper plan of solution process, and conscious monitoring and control of solution process. The role and importance of metacognitive ability in mathematical problem solving of permutations and combinations was explored. Participants were required to solve five practical problems related to permutations and combinations. For each problem, the solution process was divided into： （1） understanding （recognition） of mathematical problem; （2） plan of solution; （3） execution of solution. Participants were also required to rate the anticipation whether they could solve it or not, and to rate the confidence of their own answer. According to the total score of five problems, the participants were categorized into the group of the high test score and the group of the low test score. As a result, at the plan and the execution processes, statistically significant differences were detected between the high and the low score groups. As for the rating on the anticipation of result and the confidence of own answer, no significant differences were found between both groups. Moreover, the relationship between the score of plan process and the score of execution process was statistically correlated. In other words, the more proper the plan process was conducted, the more proper solution the participants reached. In such a way, the importance of metacognitive ability in the solving process, especially the plan ability, was suggested.

Correction of the Production Master Plan According to Preventive Maintenance Constraints and Equipments Degradation State

In this paper, we tried to formulate the interdependences of the systematic maintenance policies and the choice of a production master plan. We started from the intuitive relation between the time of production and the degradation state of the equipment to mathematically formulate the problematic and thus to build the objective space function and feasible solution set of this multiobjective problematic. The solutions set could after be presented to the decision maker to choose one, or more of these solutions, in order to manage and control the maintenance and production policies at the same time.

Solving Multitrip Pickup and Delivery Problem With Time Windows and Manpower Planning Using Multiobjective Algorithms

The multitrip pickup and delivery problem with time windows and manpower planning(MTPDPTW-MP)determines a set of ambulance routes and finds staff assignment for a hospital. It involves different stakeholders with diverse interests and objectives. This study firstly introduces a multiobjective MTPDPTW-MP(MO-MTPDPTWMP) with three objectives to better describe the real-world scenario. A multiobjective iterated local search algorithm with adaptive neighborhood selection(MOILS-ANS) is proposed to solve the problem. MOILS-ANS can generate a diverse set of alternative solutions for decision makers to meet their requirements. To better explore the search space, problem-specific neighborhood structures and an adaptive neighborhood selection strategy are carefully designed in MOILS-ANS. Experimental results show that the proposed MOILS-ANS significantly outperforms the other two multiobjective algorithms. Besides, the nature of objective functions and the properties of the problem are analyzed. Finally, the proposed MOILS-ANS is compared with the previous single-objective algorithm and the benefits of multiobjective optimization are discussed.

Resource Planning and Allocation Problem Under Uncertain Environment

This paper generalizes the classic resource allocation problem to the resource planning and allocation problem, in which the resource itself is a decision variable and the cost of each activity is uncertain when the resource is determined. The authors formulate this problem as a two-stage stochastic programming. The authors first propose an efficient algorithm for the case with finite states. Then, a sudgradient method is proposed for the general case and it is shown that the simple algorithm for the unique state case can be used to compute the subgradient of the objective function. Numerical experiments are conducted to show the effectiveness of the model.

Robust Optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

My Views on the Eco-Tourism Planning

With the awareness of people＇s eco-friendly conscious, and people also come to realize the impact on the ecological environment by the traditional travelling way, so the eco-tourism has been paid increasing attentions. So how to conduct scientific and rational planning of eco-tourism？ This article will explore the issue with colleagues, aimed at business communication, and learn from each other and work together to make progress.

Demographic, Economic, and Social Challenges of the Population Ageing in Cameroon

The elderly represent a growing proportion of the overall population and household＇s heads in Cameroon. This demographic change has some impact on the economic and social situation of the latter, in particular, the functioning of the family structure and solidarity between generations. The successive crises （food and financial） coupled with structural adjustment programs have in fact worsened the problems of the elderly, without having for compensation, provided the corresponding benefits for other age groups. This study contributes to the analysis of changes over time in the family support system, especially with regard to household＇s heads aged in Cameroon. To achieve this, the discussion turns around three questions： （1） what is the extent and nature of the ageing in Cameroon？ （2） what are the demographic, economic, and social implications？ and （3） what is the impact of economic and social change on intergenerational relationships？ The data used come from the Population Census （1976, 1987, and 2005）, and the Cameroonian Household Survey of 2007. The gradual deterioration of the support system for the family, especially due to modernization, and the current and future numbers of older should bring more policymakers to meet the specific needs of this group in Cameroon.

The Role of Artificial Intelligence Tax in Reducing the Unemployment Problem

The fear of the impact of artificial intelligence applications in the labor market on unemployment rates has increased.After the total global investment in this field did not exceed eight billion dollars in 2015,the global market for artificial intelligence globally will reach about 70 billion dollars by 2025.Many economic analysts believe that the application of artificial intelligence in industrial fields in particular will produce factories with much fewer employees than the current number,which will cause an increase in unemployment rates.Therefore,countries are trying to adapt to these systems,not only at the level of research and development of these systems,but also on the extent of strategic planning for the change they bring about on the economic level in general,and on the labor market in particular.One of the tools that these countries can use in their attempts to solve this problem is the artificial intelligence tax.

Tactical planning and optimization of a milk run system of parts pickup for an engine manufacturer

A real-life milk run system designing problem of an engine manufacturer adopted JIT(just-in-time)production is studied.In the process of milk run system planning and design,the supply base is identified and a supplier site map is plotted for an arrangement of routes on which parts are periodically collected in a JIT manner from many scattered suppliers.With unit load designing,vehicle choosing and fleet sizing,pickup routing,vehicle assigning and scheduling problems are studied.Among these problems,a CVRP problem is identified and formulated as the key optimization in designing this milk run system,and it is solved through an optimization process.This tactical planning and optimization process gives a good solution to the real problem,and may shed light on the planning of similar systems.

Analysis of problems in urban green space system planning in China

This paper discusses the major problems in urban green space system （UGSS） planning at both general and special planning levels in China. At general planning level, the problems of the UGSS are mainly from the ignorance in the characteristics of urban nature spaces and the limitation factors of the urban planning system. Great importance is attached to the green spaces in the built area of city, but the green spaces in surrounding areas of the city is unnoticed. Furthermore, because the area of UGSS planning is strictly limited by the administrative zoning, the green space system loses its integrity and rationality in spatial patterns. The schedules of urban development planning mismatched the paces and progresses of the ecological restoration cycles. At special plan level, the problem of the UGSS in China is that the green spaces quantity was over emphasized but the rationality of their layouts is neglected.. Meanwhile, the requirement of the spatial structures and the green spaces layouts to balance between the urban development and the natural ecological environments is often ignored. With regard to the layouts in the UGSS planning practices, the existing problems are the compromising to the existing land-uses, the ＇filling in＇ approach to plan green spaces and an over-emphasis on the layout patterns.

Research Progress in National Land Use Planning and Implementation Guarantee System

Land use plan serves as a leading role in land resource management, necessitating a powerful implementation guarantee system. The research concluded researches on guarantee system for land use plan from law, administration, econo- my, society and technology. Finally, existing problems and suggestions were pro- posed.

Urban Garden Planning and Design and Ornamental Plant Protection

Due to the rapid economic and social development, the quality of life of people has been significantly improved, and peopled demand for living environment has become increasingjy high, which has increased peopled awareness of landscaping. Because of the development of urbankation, however, most cities have lost their balance in the ecological enviionment although they seem to have the modem flavor of life. Integrating garden design with plant protection is an important measure to protect the ecological environment and maintain ecological balance. How to protect the plants in urban garden planning and design has become a problem to be solved by garden designers. In this paper, the relationship between garden design and plant protection was ekbofated, the status quo and problems of ornamental plant protection were analyzed, and measures to protect ornamental plants were proposed.

Radio Network Planning and Optimization for 5G Telecommunication System Based on Physical Constraints

The paper mainly focuses on the network planning and optimization problem in the 5G telecommunication system based on the numerical investigation.There have been two portions of this work,such as network planning for efficient network models and optimization of power allocation in the 5G network.The radio network planning process has been completed based on a specific area.The data rate requirement can be solved by allowing the densification of the system by deploying small cells.The radio network planning scheme is the indispensable platform in arranging a wireless network that encounters convinced coverage method,capacity,and Quality of Service necessities.In this study,the eighty micro base stations and two-hundred mobile stations are deployed in the-15km×15km wide selected area in the Yangon downtown area.The optimization processes were also analyzed based on the source and destination nodes in the 5G network.The base stations’location is minimized and optimized in a selected geographical area with the linear programming technique and analyzed in this study.

Rural Cultural Construction in the Context of a Harmonious Society

Strengthening rural cultural construction is the objective requirement of building socialist new countryside,is the demand for promoting rural cultural and ethical progress,and is of great significance to promotion of rural economic and social development and building of a moderately prosperous countryside. Rural cultural construction is beset with many problems:( 1) unbalance in development of rural cultural construction;( 2) mistaken ideas in understanding;( 3) negative influence of traditional culture;( 4) negative effect of market economy;( 5)rural education is backward,and science and technology are free from rural production and life. In line with these problems,it comes up with following countermeasures:( 1) bringing government functions into full play;( 2) carrying forward excellent ethnic cultural tradition and learning all outstanding civilization achievements;( 3) enhancing elementary education and energetically developing science and technology;( 4)reinforcing rural democratic and legal construction,and guiding farmers to set up socialist democratic and legal awareness;( 5) stimulating cultural subject awareness of farmers and enhancing their enthusiasm for participation in cultural construction;( 6) cultivating personnel and bringing up a qualified rural cultural backbone team.

Tour Planning for Sightseeing with Time-Dependent Satisfactions of Activities and Traveling Times

This paper proposes a new personal tour planning problem with time-dependent satisfactions, traveling and activity duration times for sightseeing. It is difficult to represent the time-dependent model using general static network models, and hence, Time-Expanded Network (TEN) is introduced. The TEN contains a copy to the set of nodes in the underlying static network for each discrete time step, and it turns the problem of determining an optimal flow over time into a classical static network flow problem. Using the proposed TEN-based model, it is possible not only to construct various variations with time of costs and satisfactions flexibly in a single network, but also to select optimal departure places and accommodations according to the tour route with tourist’s favorite places and to obtain the time scheduling of tour route, simultaneously. The proposed model is formulated as a 0 - 1 integer programming problem which can be applied by existing useful combinatorial optimization and soft computing algorithms. It’s also equivalently transformed into several existing tour planning problems using some natural assumptions. Furthermore, comparing the proposed model with some previous models using a numerical example with time-dependent parameters, both the similarity of these models in the static network and the advantage of the proposed TEN-based model are obtained.

Adaptive Resource Planning for AI Workloads with Variable Real-Time Tasks

AI(Artificial Intelligence)workloads are proliferating in modernreal-time systems.As the tasks of AI workloads fluctuate over time,resourceplanning policies used for traditional fixed real-time tasks should be reexamined.In particular,it is difficult to immediately handle changes inreal-time tasks without violating the deadline constraints.To cope with thissituation,this paper analyzes the task situations of AI workloads and findsthe following two observations.First,resource planning for AI workloadsis a complicated search problem that requires much time for optimization.Second,although the task set of an AI workload may change over time,thepossible combinations of the task sets are known in advance.Based on theseobservations,this paper proposes a new resource planning scheme for AIworkloads that supports the re-planning of resources.Instead of generatingresource plans on the fly,the proposed scheme pre-determines resourceplans for various combinations of tasks.Thus,in any case,the workload isimmediately executed according to the resource plan maintained.Specifically,the proposed scheme maintains an optimized CPU(Central Processing Unit)and memory resource plan using genetic algorithms and applies it as soonas the workload changes.The proposed scheme is implemented in the opensourcesimulator SimRTS for the validation of its effectiveness.Simulationexperiments show that the proposed scheme reduces the energy consumptionof CPU and memory by 45.5%on average without deadline misses.

Complete Coverage Path Planning Based on Improved Area Division

It is difficult to solve complete coverage path planning directly in the obstructed area. Therefore, in this paper, we propose a method of complete coverage path planning with improved area division. Firstly, the boustrophedon cell decomposition method is used to partition the map into sub-regions. The complete coverage paths within each sub-region are obtained by the Boustrophedon back-and-forth motions, and the order of traversal of the sub-regions is then described as a generalised traveling salesman problem with pickup and delivery based on the relative positions of the vertices of each sub-region. An adaptive large neighbourhood algorithm is proposed to quickly obtain solution results in traversal order. The effectiveness of the improved algorithm on traversal cost reduction is verified in this paper through multiple sets of experiments. .

三甲综合性公立医院人力资源管理存在的问题与对策研究

文章基于医院人力资源管理现状,通过观察、梳理其中的不足之处,针对性地提出有关改进建议,以期探讨三甲综合性公立医院人力资源管理存在问题以及具体对策。当下医院人力资源管理现存在着人力资源规划模式粗犷、员工晋升缺乏良性竞争与疏于员工关系管理等短板,亟待解决。通过全盘科学化人力资源规划方法、实行员工晋升“全生命周期”管理及开展员工关系的维护与促进标准作业等管理举措,对于解决现有人力资源管理过程中存在的问题具有积极意义。只有切实关注人力管理的不同时期,最大限度地发挥人力资源整体效能,方能推动医院运营与高质量发展。