Romanian legal management rules limit wood production in Norway spruce and beech forests

Background： The quantitative impact of forest management on forests＇ wood resource was evaluated for Picea and Fagus mixed forests. The effects on the productivity of tendering operations, thinnings and rotation length have seldom been directly quantified on landscape scale. Methods： Two sites of similar fertility but subject to contrasted forest management were studied with detailed inventories： one in Germany, the other in Romania, and compared with the respective national forest inventories. In Romania, regulations impose very long rotations, low thinnings and a period of no-cut before harvest. In contrast, tending and thinnings are frequent and intense in Germany. Harvests start much earlier and must avoid clear cutting but maintain a permanent forest cover with natural regeneration. While Germany has an average annual wood increment representative for Central Europe, Romania represents the average for Eastern Europe. Results： The lack of tending and thinning in the Romanian site resulted in twice as many trees per hectare as in the German site for the same age. The productivity in Romanian production forests was 20 % lower than in Germany despite a similar fertility. The results were supported by the data from the national forest inventory of each country, which confirmed that the same differential exists at country scale. Furthermore, provided the difference in rotation length, two crops are harvested in Germany when only one is harvested in Romania. The losses of production due to a lower level of management in Romania where estimated to reach 12.8 million m3.y-1 in regular mountain production forests, and to 15 million m3.y-1 if managed protection forest is included. Conclusions： The productivity of Picea and Fagus mountain forests in Romania is severely depressed by the lack of tending and thinning, by overly long rotations and the existence of a 25-years no-cut period prior to harvest. The average standing volume in Germany was 50 % lower than in Romania, but the higher harvesting rate resulted in more than doubling wood production. Considering the mitigation effects of climate change by forests, it emerges that the increase in standing volume of forests in Romania is smaller than the additional harvest in Germany which serves fossil fuel substitution.

Design and Implementation of Book Recommendation Management System Based on Improved Apriori Algorithm

The traditional Apriori applied in books management system causes slow system operation due to frequent scanning of database and excessive quantity of candidate item-sets, so an information recommendation book management system based on improved Apriori data mining algorithm is designed, in which the C/S (client/server) architecture and B/S (browser/server) architecture are integrated, so as to open the book information to library staff and borrowers. The related information data of the borrowers and books can be extracted from books lending database by the data preprocessing sub-module in the system function module. After the data is cleaned, converted and integrated, the association rule mining sub-module is used to mine the strong association rules with support degree greater than minimum support degree threshold and confidence coefficient greater than minimum confidence coefficient threshold according to the processed data and by means of the improved Apriori data mining algorithm to generate association rule database. The association matching is performed by the personalized recommendation sub-module according to the borrower and his selected books in the association rule database. The book information associated with the books read by borrower is recommended to him to realize personalized recommendation of the book information. The experimental results show that the system can effectively recommend book related information, and its CPU occupation rate is only 6.47% under the condition that 50 clients are running it at the same time. Anyway, it has good performance.

A Rule Management System for Knowledge Based Data Cleaning

In this paper, we propose a rule management system for data cleaning that is based on knowledge. This system combines features of both rule based systems and rule based data cleaning frameworks. The important advantages of our system are threefold. First, it aims at proposing a strong and unified rule form based on first order structure that permits the representation and management of all the types of rules and their quality via some characteristics. Second, it leads to increase the quality of rules which conditions the quality of data cleaning. Third, it uses an appropriate knowledge acquisition process, which is the weakest task in the current rule and knowledge based systems. As several research works have shown that data cleaning is rather driven by domain knowledge than by data, we have identified and analyzed the properties that distinguish knowledge and rules from data for better determining the most components of the proposed system. In order to illustrate our system, we also present a first experiment with a case study at health sector where we demonstrate how the system is useful for the improvement of data quality. The autonomy, extensibility and platform-independency of the proposed rule management system facilitate its incorporation in any system that is interested in data quality management.

Five golden rules for meeting management

If you are asked to chair a meeting,remember the following six golden rules for meeting management.Always start the meeting on time.If you begin on time,group members who show up late will realize the value of time.Beginning on time reflects skill as an effective time manager and sets a precedent(前例)

业务规则引擎Ilog JRules工作引擎的工作机制分析

本文在业务规则管理技术的概念基础上,用ILOGJRules引擎与目前流行的开源Drools引擎的比较,并且对照JSR94标准分析ILOGJRules工作引擎的工作过程,阐述了ILOGJRules作为目前国际领先的商用BRMS产品之一的优点所在。

Extracting Decision Rules for Cooperative Team Air Combat Based on Rough Set Theory

In order to reduce redundant features in air combat information and to meet the requirements of real-time decision in combat, rough set theory is introduced to the tactical decision analysis in cooperative team air combat. An algorithm of attribute reduction for extracting key combat information and generating tactical rules from given air combat databases is presented. Then, considering the practical requirements of team combat, a method for reduction of attribute-values under single decision attribute is extended to the reduction under multi-decision attributes. Finally, the algorithm is verified with an example for tactical choices in team air combat. The results show that, the redundant attributes in air combat information can be reduced, and that the main combat attributes, i.e., the information about radar command and medium-range guided missile, can be obtained with the algorithm mentioned above, moreover, the minimal reduced strategy for tactical decision can be generated without losing the result of key information classification. The decision rules extracted agree with the real situation of team air combat.

Data Mining-Based Maintenance Management Framework of Multi-component System

Complex repairable system is composed of thousands of components.Some maintenance management and decision problems in maintenance management and decision need to classify a set of components into several classes based on data mining.Furthermore,with the complexity of industrial equipment increasing,the managers should pay more attention to the key components and carry out the lean management is very important.Therefore,the idea"customer segmentation"of"precise marketing"can be used in the maintenance management of the multi-component system.Following the idea of segmentation,the components of multicomponent systems should be subdivied into groups based on specific attributes relevant to maintenance,such as maintenance cost,mean time between failures,and failure frequency.For the target specific groups of parts,the optimal maintenance policy,health assessment and maintenance scheduling can be determined.The proposed analysis framework will be given out.In order to illustrate the effectiveness of this method,a numerical example is given out.

Evaluation of Three Harvest Control Rules for Bigeye Tuna(Thunnus obesus) Fisheries in the Indian Ocean

The stock of Bigeye tuna(Thunnus obesus) in the Indian Ocean supports an important international fishery and is considered to be fully exploited. The responsible management agency, the Indian Ocean Tuna Commission(IOTC), does not have an explicit management decision-making framework in place to prevent over-fishing. In this study, we evaluated three harvest control rules, i) constant fishing mortality(CF), from 0.2 to 0.6, ii) constant catch(CC), from 60000 to 140000 t, and iii) constant escapement(CE), from 0.3 to 0.7. The population dynamics simulated by the operating model was based on the most recent stock assessment using Stock Synthesis version Ⅲ(SS3). Three simulation scenarios(low, medium and high productivity) were designed to cover possible uncertainty in the stock assessment and biological parameters. Performances of three harvest control rules were compared on the basis of three management objectives(over 3, 10 and 25 years): i) the probability of maintaining spawning stock biomass above a level that can sustain maximum sustainable yield(MSY) on average, ii) the probability of achieving average catches between 0.8 MSY and 1.0 MSY, and iii) inter-annual variability in catches. The constant escapement strategy(CE=0.5), constant fishing mortality strategy(F=0.4) and constant catch(CC=80000) were the most rational among the respective management scenarios. It is concluded that the short-term annual catch is suggested at 80000 t, and the potential total allowable catch for a stable yield could be set at 120000 t once the stock had recovered successfully. All the strategies considered in this study to achieve a ‘tolerable' balance between resource conservation and utilization have been based around the management objectives of the IOTC.

Proxy-Based Hierarchical Distributed Mobility Management for Tactical Networks

An important requirement in a military domain is a highly reliable mobility management method,especially when components of the networks aremoving in tactical network environments.To increase reliability,themobility management technology of the tactical network should be able to reflect the characteristics of the tactical network,such as a limited environment,failure,and hierarchical unit structure.In this paper,we propose a proxy-based hierarchical distributedmobilitymanagement scheme,which is highly focused on tactical networks.Considering the characteristics of tactical networks,the proposed scheme is composed of the following:1)a proxy-based method,2)a distributed mobility management method that synchronizes a mobility database between entities,and 3)a method of managing mobility by dividing the tactical network into upper and lower layers.Mathematical analysis and modeling and simulation results demonstrate that the method outperforms the existing state-of-the-art method in overcoming entity failure,handover cost,and delay in tactical environments.

Integrating Strategic and Tactical Rolling Stock Models with Cyclical Demand

In the transportation industry, companies position rolling stock where it is likely to be needed in the face of a pronounced weekly cyclical demand pattern in orders. Strategic policies based on assumptions of repetition of cyclical weekly patterns set rolling stock targets;during tactical execution, a myriad dynamic influences cause deviations from strategically set targets. We find that optimal strategic plans do not agree with results of tactical modeling;strategic results are in fact suboptimal in many tactical situations. We discuss managerial implications of this finding and how the two modeling paradigms can be reconciled.

Conflict： Efficient State or State Under the Rule of Law？-- The Hungarian Case of the Victory of the Efficient State over the State Under the Rule of Law

This study is seeking an answer as to whether the efficient state and the state under the rule of law are indeed irreconcilable, as well as to whether these two categories are by nature to be seen as contrary concepts. The basic issue is whether efficiency is to be handled as an ＂extralegal＂ category, or whether legal regulation, in accordance with public administration traditions in Europe, can in itself meet the requirement of efficiency. Also the study presents the formation of the issue of conflict between the effective state and the state under the rule of law in Hungary after the election held in 2010 in the practice of economic policy and legislation of the Orban government. We are trying to answer the question of the tendency of power concentration to really menace the principles of a traditionally-formed state under the rule of law, as well as whether the economic policy of the government can be implemented effectively in a strongly centralized political and state administrative system.

Design and Analysis of Computer Experiments Based on a Simulation Model of Air Traffic Flow Optimization in Panama

There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FAA(Federal Aviation Administration)is working with NextGen in the United States and the EUROCONTROL is implementing the Point Merge as solution in the air traffic flow management in Europe.However,the FAA alternative and EUROCONTROL alternative are not mutually exclusive since Panama,a small country in Latin America,is trying to use a combination between the vectoring approach and the Point Merge in the air traffic flow management.In addition,the AAC(Autoridad de Aereonautica Civil)and the Tocumen(Tocumen International Airport)are working in a continuous collaboration between FAA and Panama with the mutual challenge to improve the actual system.As a result,the main airline of Panama,the Compania Panamena de Aviacion(COPA Airlines),and the Autoridad de Aeronautica Civil(AAC)constructed a simulation model to select an air traffic flow alternative that can be able to change the actual situation.In other words,COPA Airlines and AAC are pursuing the minimization of the numbers of conflicts,the number of sequence actions,the flight time,the track flight distance and the fuel burn.Furthermore,this study aims to use the final draft of this previous analysis based on a simulation methodology to conduct a Design and Analysis of Computer Experiments with the final objective to increment the statistical significance of the actual model.

Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of Automation.

Representing the Knowledge of Public Construction Project Cost Estimator by Using Rule-Based Method

Despite the presence of various construction project cost estimate softwares, human experience and knowledge cannot be disregarded. This fact has been proven in practice, where the success of construction cost estimate process is mainly based on knowledge of human estimator. The main question concerns what human knowledge determines the success of the construction cost estimation process. To address this question we have applied Delphi technique and the output is eleven factors that are enough to precisely represent construction cost estimator knowledge. Then we have used First Order Logic (FOL) to represent these factors in terms of predicates and rules. These FOL rules could be used for evaluating construction cost estimator knowledge in five classes: fail, pass, acceptable, good, and very good. As a validation process we have done experiments using history data and the results have proved the accuracy of our proposed method.

医学生思想政治学科核心素养培育教学策略研究

医学生是未来触摸人身体的人,肩负着健康中国建设的重要使命。加强医学生思想政治学科核心素养培养课程教学研究,全面提升医学生的职业道德和法治核心素养,以学生喜闻乐见的方式展现课程教学内容,可有效提升学生的政治认同、职业精神、法治意识、健全人格和公共参与学科核心素养能力和水平。且为学生职业生涯发展和走好以后人生路提供有效思想道德法治保障,为康养产业发展提供可靠人才保障。文章围绕医学生学科核心素养培育,提出改进课程教学的应对之道。

数据挖掘技术在管理信息系统中的应用

阐述数据挖掘技术的原理和算法,包括分类、聚类、关联规则挖掘,探讨数据挖掘技术在管理信息系统中的应用。通过数据挖掘技术,企业可以识别风险和异常情况,从而提供预测和决策支持。分析数据挖掘技术在管理信息系统中的挑战和发展方向。

基于关联规则的互联网医疗服务平台在肿瘤患者诊疗管理中的应用

目的探讨基于FP-Growth算法的有效强关联规则分析在肿瘤患者诊疗管理中的应用。方法在现有互联网医疗服务平台和电子病历系统基础上增加FP-Growth算法功能,通过FP-Growth算法挖掘2017年12月-2021年12月样本医院肿瘤放射治疗中心2075例患者和其中高危群体患者基线资料间的有效强关联规则,并将之用于肿瘤放射治疗中心。结果FP-Growth算法共反馈有效强关联规则15条,其中全部患者10条、高危群体患者5条,根据反馈结果调整了肿瘤放射治疗中心患者的治疗方案。结论增加了FP-Growth算法功能的互联网医疗服务平台具有临床应用价值。

植物功能性状对环境的响应及在森林经营中的应用

植物功能性状被概括为能够影响生态系统功能并且能够反映植物对环境响应的核心植物性状,是植物因为遗传特性或基于可塑性与环境耦合,形成特定的生理、形态方面的性状,更强调植物与生态系统和环境的关系,植物功能性状能够反映植物对环境变化的响应,在环境与植物间以核心植物属性发挥着中介作用。植物功能性状研究在生态学领域取得了丰硕成果,其对环境响应的规律逐渐明晰,但目前研究主要集中于生态学基础理论上,其应用研究较少且分散,缺少系统的梳理与总结。本研究对植物功能性状的发展与分类进行回顾与整理,在剖析植物功能性状定义的基础上,总结出常见的分类依据包含植物的器官或部位、功能性状获得的难易程度、植物的生存策略、性状与环境的关系、形态和生理特征5大类,并指出植物功能性状的分类系统有待补充与调整;进而结合森林经营的需要,考虑到直观性与可操作性的要求,采取器官分类的方式,对研究较为集中的功能性状进行论述,包括叶功能性状、枝干功能性状、根功能性状与繁殖性状对环境的响应;最后探讨植物功能性状在森林经营中具有为森林更新的树种选择提供依据、为森林采伐的结构调整提供指导、为森林防火与生态保护提供预警、为森林生产力提供有效预测4方面的应用,并从森林经营角度对植物功能性状的应用进行思考与展望。以期为植物功能性状对环境的响应研究以及其在森林经营中的应用提供一定的理论指导。

法治强化会影响企业真实盈余管理行为吗?——来自环保法庭设立的证据

本文利用各地中级人民法院自2007年开始陆续设立环境资源审判庭这一准自然实验,考察环境法治强化对企业真实盈余管理的影响。研究结果表明,环境资源审判庭的设立会使本地上市公司进行向上的真实盈余管理。机制分析表明,环境资源审判庭显著改善了地区环境司法效率,进而提高企业面临的环境规制风险,使企业从事真实盈余管理以应对未来的潜在诉讼。异质性分析结果表明,对于非国有企业以及处于低法治水平、低生态激励、高经济激励城市的企业,设立环境资源审判庭对企业真实盈余管理的影响更为明显。本文结论对充分发挥环境管制政策作用、引导企业实现高质量绿色转型和可持续发展具有重要启示。

基于关联规则的群组共享密钥协议研究

静态的密钥管理策略难以适应网络动态变化.针对这一问题提出一种基于关联规则的群组密钥管理方案,使用关联规则分析移动分布式网络中密钥之间的关系,通过路由中密钥使用频率挖掘群组密钥之间的频繁关系,根据可信度建立合理的密钥共享方案.在效率上,该方案适应网络动态变化,降低对先验知识的需求,发现频繁密钥集规模与路由延时之间的折中关系,网络实体可根据密钥之间的频繁关系动态调整群组密钥管理方式.在安全性上,节点根据密钥规则选择密钥策略,在频繁密钥集上实施共享密钥协议,提高了安全性.