明代行盐区的形成及其社会经济基础研究--以福建东路盐区为例

划区行盐是明代食盐运销的重要原则。然而,并非所有地方都是食盐专卖行盐区或都能成为行盐区,它的形成需要经济和社会基础。明王朝没有为地方推行食盐专卖制度提供经费支持,却对地方盐官的盐税征收进行严厉考核,地方盐官则低成本、低风险推行食盐专卖制,将既有规模大的食盐市场及有商人支持的地方纳入行盐区,推行专卖制,而放宽对其他地方食盐流通的管理。以福建为例,16世纪初福建境内仅闽江流域及其所达数县食盐专卖。嘉靖十五年以国家财政紧张为契机,福建运司在食盐自由流通的滨海四府一州的广阔区域中,仅选择在福宁州建立黄崎分司,将闽东纳入专卖体制,正是因为当时从福清到福宁州地区之间存在规模大且稳定的食盐市场,且福州商人支持专卖。此后福建运司为保证从福清到福宁州之间的官盐销售,逐渐将罗源县、福宁州辖境及建宁府政和、松溪、寿宁三县划入东路行盐区,亦以既存食盐市场和商人支持为前提。

OPTIMIZATION OF AIRPORT TAXIING PLANNING DURING CONGESTED HOURS BASED ON IMMUNE CLONAL SELECTION ALGORITHM

In order to ease congestion and ground delays in major hub airports, an aircraft taxiing scheduling optimization model is proposed with schedule time as the object function. In the new model, the idea of a classical job shop-schedule problem is adopted and three types of special aircraft-taxi conflicts are considered in the constraints. To solve such nondeterministic polynomial time-complex problems, the immune clonal selection algorithm（ICSA） is introduced. The simulation results in a congested hour of Beijing Capital International Airport show that, compared with the first-come-first-served（FCFS） strategy, the optimization-planning strategy reduces the total scheduling time by 13.6 min and the taxiing time per aircraft by 45.3 s, which improves the capacity of the runway and the efficiency of airport operations.

空灵缥缈,物我皆忘──从晋唐书法艺术中管窥魏晋玄学的影响

中国书法历史悠久,魏晋时代书法艺术出现一次质的飞跃。魏晋玄学思想滋养了晋唐书法,而晋唐书法以其艺术形式体现了玄学思想的内涵。从钟繇、王羲之的晋人行草到张旭、怀素的盛唐狂草,无不浸透着玄学的影响。

FLIGHT CONFLICT DETECTION AND RESOLUTION

The air traffic control (ATC) systems are facing more and more serious congestive because of the increasing of air traffic flow in China. One of the most available ways to solve the problem is 'free flight' that the pilots may choose the air route and flight speed suitable for them. But this will lead to the difficulties for the controllers. This paper presents how ATC genetic algorithms can be used to detect and to solve air traffic control conflicts in free flight. And it also shows that this algorithm perfectly suits for solving flight conflicts resolution because of its short computing time.

Study on the Occurrence and Epidemic Regularity and Region Division of Rice Blast in Nanchong City

With the aim to improve the level of monitoring and warning as well as the comprehensive control of rice blast disease, and to feasibly reduce the disease threat in Nanchong City, the methods of GPS and GIS, systematical monitoring and field survey, rice blast resistance identification, physiologic races of rice blast monitoring, and meteorological data analysis were performed to study the occurrence and epidemic region division, precise demarcation and occurrence and epidemic regularity of rice blast in Nanchong City. This study first completed the epidemic region division and precise demarcation; first clarified the initial affection（beginning period） locations, occurrence characteristics, epidemic trends and characteristics; explicated the existence of four epidemic peak periods of rice blast in the field, where the damage areas of first peak period played a decisive role during the blast epidemic years; in late May, the cumulative occurrence areas and annual occurrence areas presented higher positive correlation with the correlation coefficient of 0.817;and established a prediction model of occurrence areas per year based on the disease field rate at the end of boot stages and the diseased plant rate at dough stages. The results of investigation on the impact factors investigation of blast disease in Nanchong in recent years suggested that the internal causes were the decrease or loss of blast resistance of the rice cultivars, as well as the increase of physiological races with strong resistance to rice blast and the emergence of new virulent physiologic varieties; the external causes were suitable temperature, too much rainy, and sunlight shortage. Between 2010 and 2015, the short-term forecast accuracy for rice blast in Nanchong was up to 100%, and medium-and long-term forecast accuracy was also up to 98% and 95%, respectively, which increased by 5-15% than that before 1997, thereby making the control effect of rice blast in Nanchong increased by 15-30%.

Data partitioning based on sampling for power load streams

A novel data streams partitioning method is proposed to resolve problems of range-aggregation continuous queries over parallel streams for power industry.The first step of this method is to parallel sample the data,which is implemented as an extended reservoir-sampling algorithm.A skip factor based on the change ratio of data-values is introduced to describe the distribution characteristics of data-values adaptively.The second step of this method is to partition the fluxes of data streams averagely,which is implemented with two alternative equal-depth histogram generating algorithms that fit the different cases：one for incremental maintenance based on heuristics and the other for periodical updates to generate an approximate partition vector.The experimental results on actual data prove that the method is efficient,practical and suitable for time-varying data streams processing.

MULTI-AGENT BASED DISTRIBUTED MANUFACTURING EXECUTION SYSTEM MODEL

A multi-agent based manufacturing execution system (MES) model is presented. It is open, modula-rized, distributed, configurable, integratable and maintainable. By analyzing the MES domain in manufacturing systems, this paper proposes a multi-agent based MES model and analyzes the partitioned functions of MES in the model using unified modeling language (UML) diagrams, and establishes the ongoing implemented MES architecture. This MES can be facilely integrated with the enterprise resource planning (ERP), the floor control system (FCS), and the other manufacturing applications.

RANSE Simulation of High-speed Planning Craft in Regular Waves

This paper presents a study on the numerical simulation of planing crafts sailing in regular waves. This allows an accurate estimate of the seas keeping performance of the high speed craft. The simulation set in six-degree of freedom motions is based on the Reynolds averaged Navier Stokes equations volume of fluid （RANSE VOF） solver. The trimming mesh technique and integral dynamic mesh method are used to guarantee the good accuracy of the hydrodynamic force and high efficiency of the numerical simulation. Incident head waves, oblique waves and beam waves are generated in the simulation with three different velocities （Fn =1.0, 1.5, 2.0）. The motions and sea keeping performance of the planing craft with waves coming from different directions are indicated in the flow solver. The ship designer placed an emphasis on the effects of waves on sailing amplitude and pressure distribution of planing craft in the configuration of building high speed crafts.

Effects of a theory of planned behavior-based intervention on breastfeeding behaviors after cesarean section:A randomized controlled trial

Objectives:To examine the efficacy of an intervention based on the theory of planned behavior(TPB)in improving breastfeeding behavior among women with cesarean sections(C-sections).Methods:This research was a randomized controlled trial.Women with planned elective C-sections were recruited to participate in a randomized controlled trial between June and September 2020.One hundred thirty-two women were divided randomly into the intervention(n=66)and control group(n=66)by systematic random sampling.In the intervention group,an intervention project was implemented after Keywords:Breastfeeding Cesarean section Intervention studies Theory of planned behavior the C-section to establish positive breastfeeding attitudes,cultivate supportive subjective norms,enhance perceived behavioral control,and strengthen breastfeeding intention to change behaviors.Those in the control group received routine pre-and post-delivery care.Exclusive breastfeeding rate and breast problem were collected at 5 days,2 weeks,and 1 month after C-section.The modified Breastfeeding Attrition Prediction Tool(BAPT)on the first day in the hospital,two weeks,and one month after C-section and Numerical Rating Scale(NRS)24 h postoperatively were used to compare the intervention effect between the two groups.Results:After the intervention,the intervention group had significantly higher exclusive breastfeeding rates than the control group at five days(86.4%vs.60.6%),two weeks(77.3%vs.57.6%),and one month(74.2%vs.50.0%)after the C-section.Besides,the intervention group was less likely to have sore nipples at five days(6.1%vs.18.2%in the control group,P<0.05)and two weeks(9.1%vs.12.1%in the control group,P<0.05).After two weeks of intervention,attitude scores(90.64±8.31 vs.87.20±8.15,P<0.05),subjective norm scores(88.07±24.65 vs.79.42±19.47,P<0.05)and behavior control scores in the intervention group were significantly higher than those in the control group.After one month of intervention,attitude scores(90.34±10.35 vs.84.22±10.51,P<0.05)and behavior control scores(43.13±5.02 vs.39.15±4.69,P<0.05)in the intervention group were significantly higher than those in the control group,which resulted in the higher breastfeeding intention in the intervention group.Conclusion:This study indicated that the TPB-based interventions effectively improved women's breastfeeding behaviors after C-sections.

An exploration of the breastfeeding behaviors of women aftercesarean section: A qualitative study

Objectives:To explore the factors affecting breastfeeding behaviors in women after cesarean section.Methods:This is a qualitative study that used a phenomenological approach.This study used individual face-to-face interviews with 19 women who underwent a cesarean section in a Women and Children’s Hospital in China between July to September 2019.Information saturationwas used to determine sample size.Data were analyzed using a thematic content analysis method.Themes were developed based on the theory of planned behavior.Results:Thirteen(68.42%)had a planned cesarean section,and six(31.58%)cesarean sections were unplanned or emergent.Three major themes emerged:ambivalent attitude about breastfeeding,motivation to comply with the traditional cultural norms,and barriers and challenges.The motivating factors for breastfeeding after cesarean sections included perceived benefits of human milk,support from healthcare professionals,and responsibility for breastfeeding.The challenges for breastfeeding after cesarean sections included physical discomfort,knowledge and skills deficit of breastfeeding,lactation deficiency,and lack of knowledge and coping skills in managing their depressive mood after cesarean sections.There were a couple of neutral factors,such as the influences of family and peers.These factors could influence women either positively as facilitators or negatively as barriers.Conclusions:The findings can offer valuable information for healthcare professionals to help women breastfeed after cesarean sections.To promote women’s breastfeeding behaviors after cesarean sections,it is necessary to change women’s attitudes,belief systems,and the external environments and help them become more confident.

Infeasibility Diagnosis on the Linear Programming Model of Production Planning in Refinery

In order to effectively diagnose the infeasible linear programming (LP) model of production planning in refinery, the article proposed three stages strategy based on constraints’ classification and infeasibility analysis. Generally, infeasibility sources involve structural inconsistencies and data errors, and the data errors are further classified intoⅠ, Ⅱ and Ⅲ. The three stages strategy are: (1) Check data when they are inputted to detect data error Ⅰ and repair them; (2) Inspect data whether they are accorded with material balance before solving the LP model to identify data error Ⅱ and repair them; (3) Find irreducible inconsistent system of infeasible LP model and give diagnosis information priority-ranked to recognize data error Ⅲ and structural inconsistencies. These stages could be automatically executed by computer, and the approach has been applied to diagnose the infeasible model well in our graphic I/O petro-chemical industry modeling system.

High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

Trains are prone to delays and deviations from train operation plans during their operation because of internal or external disturbances. Delays may develop into operational conflicts between adjacent trains as a result of delay propagation, which may disturb the arrangement of the train operation plan and threaten the operational safety of trains. Therefore, reliable conflict prediction results can be valuable references for dispatchers in making more efficient train operation adjustments when conflicts occur. In contrast to the traditional approach to conflict prediction that involves introducing random disturbances, this study addresses the issue of the fuzzification of time intervals in a train timetable based on historical statistics and the modeling of a high-speed railway train timetable based on the concept of a timed Petri net. To measure conflict prediction results more comprehensively, we divided conflicts into potential conflicts and certain conflicts and defined the judgment conditions for both. Two evaluation indexes, one for the deviation of a single train and one for the possibility of conflicts between adjacent train operations, were developed using a formalized computation method. Based on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction method is proposed, and the results of a simulation example for two scenarios are presented. The results prove that conflict prediction after fuzzy processing of the time intervals of a train timetable is more reliable and practical and can provide helpful information for use in train operation adjustment, train timetable improvement, and other purposes.

A New Three-Level Hierarchical Control Algorithm for Large-Scale Systems

This paper presents a new three-level hierarchical control parallel algorithm for large-scale systems by spatial and time decomposition. The parallel variable metric (PVM)method is found to be promising third-level algorithm. In the subproblems of second-level, the constraints of the smaller subproblem requires that the initial state of a subproblem equals the terminal state of the preceding subproblem. The coordinating variables are updated using the modified Newton method. the low-level smaller subproblems are solved in parallel using extended differential dynamic programmeing (DDP). Numerical result shows that comparing with one level DDP. the PVM /DDP algorithm obtains significant speed-ups.

Interference-Free Pilot Design and Channel Estimation Using ZCZ Sequences for MIMO-OFDM-Based C-V2X Communications

Cellular vehicle-to-everything(C-V2X) communications is regarded as a promising and feasible solution for 5G-enabled vehicular communications and networking. In this paper, we investigate the pilot design and channel estimation problem in MIMO-OFDM-based C-V2X systems with severe co-channel interference due to spectrum reusing among different V2X communication links. By using zero-correlation zone(ZCZ) sequences, we provide an interference-free pilot design scheme and a corresponding time-domain(TD) correlation-based channel estimation(TD-CCE) method. We employ the ZCZ sequences from the same family set to be designed as the TD pilot symbols and guarantee the pilot sequeneces for neighboring V2X communication links are code-division multiplexing(CDM). The co-channel pilot interference of the deisgned pilot symbols can be effectively eliminated by exploiting the provided TD-CCE method. Simulation results indicate that the accuracy of channel estimation can be effectively improved by the proposed scheme, whose performance is close to that of the non-interference situation.

Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment

The coordinated development of Beijing, Tianjin and Hebei has been elevated as China's important strategy. And, the priority in considering how to bring the maximum effect of their coordinated development into play is to delineate the spheres of urban influence with regard to the cities in the Beijing-Tianjin-Hebei Metropolitan Region. By building an evaluation index system of urban comprehensive strength, this paper applies the principal component analysis method to determine centrality strength of the cities, and the breakpoint theory and weighted Voronoi diagram to identify the spheres of urban influence in all central cities of the region. Results show that 13 central cities within the region greatly differ in strength, which can be classified into four tiers and that the spheres of urban influence do not have a high goodness of fit with administrative jurisdiction scope. Cities like Beijing, Tianjin, Shijiazhuang and Handan have larger spheres of urban, spheres of urban influence in Tangshan and Qinhuangdao are basically consistent with their administrative jurisdiction scopes, and seven cities including Langfang and Baoding have smaller spheres of urban influence. So according to these cities' comprehensive strength and spheres of influence, the region can be divided into five plates: Beijing, Tianjin, Shijiazhuang, Tangshan and Handan. The major influence factors for inconsistency between spheres of urban influence and spheres of jurisdiction include difference in urban administrative ranking, small number of central cities with weak strength, discrepancy in the number of counties under jurisdiction, unreasonable spheres of jurisdiction and diversity in topographical conditions. In order to solve the imbalance in the spheres of urban influence and those of jurisdiction and better facilitate the coordinated development of the region, it is advised to adjust administrative areas so as to obtain more optimized urban spatial layout and more reasonable urban scale hierarchy system.

Particulate matter trends and quantification of the spring sand-dust contribution in Hohhot,Inner Mongolia,from 2013 to 2017

On 10 September 2013,the State Council promulgated the Action Plan for the Prevention and Control of Air Pollution(hereinafter referred to as the Action Plan).To study the variations in the air pollutant concentrations in Hohhot during the implementation of the Action Plan and the effects of various measures,the daily concentrations of air pollutants(fine particulate matter(PM_(2.5)),inhalable PM(PM 10),SO_(2),and NO_(2))in Hohhot published by the China Environmental Monitoring Station were obtained to analyze the general meteorological conditions in Inner Mongolia from 2013 to 2017.The variations and causes of the ambient PM concentration in Hohhot were examined,and the quantitative influence of sandstorms on the ambient PM concentration in Hohhot was analyzed by selecting the spring season with frequent sandstorms as an example.The results showed the following.(1)The air quality in Hohhot continuously improved,and compared with those in 2013,the PM_(2.5)and PM 10 concentrations decreased by 24.6%and 48.2%,respectively,in 2017.However,the air pollutant concentrations remained high,with the average PM_(2.5)and PM 10 concentrations exceeding the national secondary standards by 22.9%and 35.7%,respectively.(2)The reductions in the spring PM_(2.5)and PM 10 concentrations were 5.6%and 8.9%,respectively,and the annual decreases in the PM_(2.5)and PM 10 concentrations were 3.6 and 15.1μg m^(−3)yr−1,respectively,from 2013 to 2017.(3)The absolute contribution ranges of dust weather to the concentrations of PM_(2.5),PM 10,and TSP during 2013–17 were 0.6–5.2μg m^(−3),9.0–16.9μg m^(−3),and 14.7–30.0μg m^(−3),respectively,in Hohhot during the spring.

An optimization model of UAV route planning for road segment surveillance

Unmanned aerial vehicle(UAV)was introduced to take road segment traffic surveillance.Considering the limited UAV maximum flight distance,UAV route planning problem was studied.First,a multi-objective optimization model of planning UAV route for road segment surveillance was proposed,which aimed to minimize UAV cruise distance and minimize the number of UAVs used.Then,an evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV route planning problem.At last,a UAV flight experiment was conducted to test UAV route planning effect,and a case with three scenarios was studied to analyze the impact of different road segment lengths on UAV route planning.The case results show that the optimized cruise distance and the number of UAVs used decrease by an average of 38.43% and 33.33%,respectively.Additionally,shortening or extending the length of road segments has different impacts on UAV route planning.

Modeling and gender difference analysis of acceptance of autonomous driving technology

In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.

Singularity-free path planning for parallel manipulator

Given a start pose and a goal pose, a large number of singularity-free poses are created randomly in the 6 dimensional task space, a short line segment is used to create a feasible path between two singularity-free poses. A well connected roadmap can be obtained and stored in the 6 dimension task space for a specific 6 DOF parallel manipulator in this way and a singularity-free path is queried to connect the start pose and the goal pose. So the singularity-free path planning between any two given poses for this parallel manipulator can be performed very efficiently. This singularity-free path planning method can be used with any type of parallel manipulator only if the matrix used can be given to define singularities.

The Optimal Conditions of the Linear Fractional Programming Problem with Constraint

In this article,the authors discuss the optimal conditions of the linear fractionalprogramming problem and prove that a locally optional solution is a globally optional solution and the locally optimal solution can be attained at a basic feasible solution withconstraint condition.