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Compiled by K.G.B. Bakewell covering the following journals published by Emerald: Facilities Volumes 8‐19; Journal of Property Investment & Finance Volumes 8‐19; Property Management Volumes 8‐19; Structural Survey Volumes 8‐19.

Compiled by Indexing Specialists (UK) Ltd covering the following journals published by Emerald: Facilities Volumes 8‐20; Journal of Property Investment & Finance Volumes 8‐20; Property Management Volumes 8‐20; Structural Survey Volumes 8‐20.

Compiled by K.G.B. Bakewell covering the following journals published by Emerald: Facilities Volumes 8‐19; Journal of Property Investment & Finance Volumes 8‐19; Property Management Volumes 8‐19; Structural Survey Volumes 8‐19.

Compiled by Indexing Specialists (UK)Ltd covering the following journals published by Emerald: Facilities Volumes 8‐20; Journal of Property Investment & Finance Volumes 8‐20; Property Management Volumes 8‐20; Structural Survey Volumes 8‐20.

The paper takes the air-ground integrated wireless ad hoc network-integrated system as the research object, this paper aims to propose a distributed robust H_∞ adaptive fault-tolerant control algorithm suitable for the system to distribute to solve the problem of control and communication failure at the same time.

In the paper, the authors propose a distributed robust H_∞ adaptive fault-tolerant control algorithm suitable for the air-ground integrated wireless ad hoc network-integrated system.

The results show that the integrated system has good robustness and fault tolerance performance indicators for flight control and wireless signal transmission when confronted with external disturbances, internal actuator failures and wireless network associated failures and the flight control curve of the quadrotor unmanned aerial vehicle (UAV) is generally smooth and stable, even if it encounters external disturbances and actuator failures, its fault tolerance performance is very good. Then in the range of 400–800 m wireless communication distance, the success rate of wireless signal loop transmission is stable at 80%–100% and the performance is at least relatively improved by 158.823%.

This paper takes the air-ground integrated wireless ad hoc network-integrated system as the research object, based on the robust fault-tolerant control algorithm, the authors propose a distributed robust H_∞ adaptive fault-tolerant control algorithm suitable for the system and through the Riccati equation and linear matrix inequation method, the designed distributed robust H_∞ adaptive fault-tolerant controller further optimizes the fault suppression factor γ, so as to break through the limitation of only one Lyapunov matrix for different fault modes to distribute to solve the problem of control and communication failure at the same time.

This paper aims to examine the role of outside peacekeepers in a bilateral conflict.

The authors build upon a trade theoretic framework by incorporating disruptions due to war, which could affect directly the return to investment, both domestic and foreign, and by introducing explicitly peacekeeping forces into the model. Two countries are engaged in a war, with the purpose of capturing capital. A third country plays a dual role: it is the source of investments in the warring countries, and it deploys soldiers on ground for peacekeeping purposes. The authors consider the cases where the levels of foreign investments are exogenous and when they are endogenously determined by free mobility conditions. In the worst case, they find that foreign investment reduces conflict. In the case of endogenous foreign investments, they examine the effect of multilateral agreements where the two warring countries reduce their number of soldiers and the third increases the number of peacekeepers.

The authors find that the reform benefits all three countries and increases the level of foreign investments. They consider the cases of exogenous and endogenous foreign direct investment (FDI). In the first case, the authors examine the effect of an exogenous increase in FDI on the war equilibrium and find that it reduces the employment of soldiers in the warring countries and increases the size of the peacekeeping force. They also find that the first-best level of peacekeeping is larger than the equilibrium level. When FDI is endogenous, starting from the initial war equilibrium, they also examine the effect of a multilateral agreement in which the size of the peacekeeping force is increased by the third country and the two warring countries agree to reduce their war efforts. The authors find that the reform makes all three countries better off and increases the level of FDI.

The paper uses a theoretical model with third-party interventions in a bilateral war. It intends to shed light on some of the missing economic implications of peacekeeping. The paper introduces explicitly peacekeeping forces into the analysis and introduces a factor that represents a disruption to return on investment in both warring countries. The third country has a dual role; it provides investments in the warring countries and deploys soldiers for peacekeeping. Peacekeeping reduces the disruption mentioned above and affects the employment of soldiers by the warring countries. The authors find that a multilateral agreement in which the two warring countries reduce their war efforts and the third party increases its peacekeeping force can increase welfare in all three countries.

Complicated workpiece, such as an engine block, has special rough locating datum features (i.e. six independent datum features) due to its complex structure. This locating datum error cannot be handled by current variation propagation model based on differential motion vectors. To extend variation prediction fields, this paper aims to solve the unaddressed variation sources to modify current model for multistage machining processes.

To overcome the limitation of current variation propagation model based on differential motion vectors caused by the unaddressed variation sources, this paper will extend the current model by handling the unaddressed datum-induced variation and its corresponding fixture variation.

The measurement results of the rear face with respect to the rough datum W and the pan face with respect to the hole Q by coordinate measuring machine (CMM) are −0.006 mm and 0.031 mm. The variation results for rear face and pan face predicted by the modified model are −0.009 mm and 0.025 mm, respectively. The discrepancy of model prediction and measurement is very small.

This paper modifies the variation propagation model based on differential motion vectors by solving the unaddressed variation sources, which can extend the variation prediction fields for some complicated workpiece and is useful in the future work for many fields, such as process monitoring, fault diagnosis, quality-assured setup planning and process-oriented tolerancing.

Begins with the Staff Report to the National Commission on Terrorist Attack on the United States, which indicates the methods used to trace, seize and freeze terrorist assets, and the informal methods used by al‐Qaeda to transfer money. Questions the amount of progress made since September 11 to freeze funds. Focuses on encryption technology and how it allows illegal use of the Internet in the form of cyber laundering and e‐cash, and on the move by terrorists into narcotics production and trafficking ‐ which is defined as nacre‐terrorism. Describes efforts to proscribe cyber crime, including cyber laundering and cyber terrorism, including controls on privacy and encryption. Shows how business corporations can become involved with terrorism, including a case study on tanzanite.

The paper aims to introduce a novel concept to solve the bi-level multi-criteria nonlinear fractional programming (BL-MCNFP) problems. Bi-level programming problem (BLPP) is rigorously flourished and studied by several researchers, which deals with decentralized decisions by comprising a sequence of two optimization problems, namely upper and lower-level problems. However, on the other hand, many real-world decision-making problems involve multiple objectives with fraction aspects, called fractional programming problems that reflect technical and economic performance.

This paper introduces a VIKOR (“VlseKriterijumska Optimizacija I Kompromisno Resenje”) approach to solve the BL-MCNFP problem. In this approach, an aggregating function based on L_P metrics is formulated on the basis of the “closeness” scheme from the “ideal” solution. The three steps perform the solution process: First, a new concept is attempted to minimize and maximize of the numerators and denominators from their respective ideal solutions and anti-ideal values simultaneously. Second, for each level, the K-dimensional objective space of each level is converted to a one-dimensional space by an aggregating function. Third, to obtain the final solution, all levels are combined into single-level model where the decision variables of upper levels are interrelated with other levels through fuzzy strategy-based linear and nonlinear membership functions.

The effectiveness of the proposed VIKOR is demonstrated by numerical examples, where the reported results affirm that the extended VIKOR method provides superior results in comparison with the same methods in the literature, and it is a good alternative to BL-MCNFP problems.

In terms of the assistance-based right decision, a parametric analysis for the weight of the majority is provided to exhibit a wide range of compromise solutions for the decision-maker.

The optimal payment in the whole operation and maintenance period of water environment treatment PPP projects has become the main approach to realize sustainable development of projects. This study is aimed at constructing an effective payment model for the whole life period of projects to achieve win-win among all stakeholders, so as to provide a theoretical reference and managerial implications for the public sector in the whole operation and maintenance period.

In the whole operation and maintenance period of water environment treatment PPP projects, this article investigates how the public sector optimizes the payment in the whole operation and maintenance period of projects. Firstly, the projects' whole operation and maintenance period is divided into several stages according to the performance appraisal period. And then, the multi-stage dynamic programming model is constructed to design the payment construct model for the public sector in each performance appraisal stage. The payment from the public sector is the decision variable, and the deduction from the private sector is a random variable.

The optimal payment model showed that the relatively less objective weight of public sector leaded to its relatively more total payment and vice versa. Therefore, the sustainable development of the projects can only be ensured when the objective weights both of them should be balanced. Additionally, the deduction from the performance appraisal of private sector plays an important role in the model construction. The larger deduction the private sector undertakes, the smaller profits private sector has. Since the deduction at each stage is a random variable, the deduction varies with the different probability distributions obeyed by the practical deduction in each stage.

The findings from this study have provided theoretical and application references, and some managerial implications are also given. First, the improvement of the pricing system of public sector should be accelerated. Second, the reasonable profit of the private sector must be guaranteed. While pursuing the maximization of social benefits, the public sector should make full use of the price sharing mechanism in the market and supervise the real income situation of the private sector. Third is increasing the public to participate in pricing. Additionally, it is a limitation that the deduction is assumed to conform to a uniform distribution in this study. Other probability distributions on deduction can be essentially further sought, so as to be more line with the actual situation of the projects.

The optimal payment in whole operation and maintenance period of the projects has become an important issue, which is a key to project success. This study constructs a multi-stage dynamic programming model to optimize payment in the whole period of projects. Additionally, this study adds its value through deeply developing the new theories of optimal payment to more suitable for the practical problems, so that to optimize the design of payment mechanism. Meanwhile, a valuable reference for public and private sectors is provided to ensure the sustainable development of the projects.