Consensus models with aggregation operators for minimum quadratic cost in group decision making.

In group decision making (GDM), to facilitate an acceptable consensus among the experts from different fields, time and resources are paid for persuading experts to modify their opinions. Thus, consensus costs are important for the GDM process. Notwithstanding, the unit costs in the common linear cost functions are always fixed, yet experts will generally express more resistance if they have to make more compromises. In this study, we use the quadratic cost functions, the marginal costs of which increase with the opinion changes. Aggregation operators are also considered to expand the applications of the consensus methods. Moreover, this paper further analyzes the minimum cost consensus models under the weighted average (WA) operator and the ordered weighted average (OWA) operators, respectively. Corresponding approaches are developed based on strictly convex quadratic programming and some desirable properties are also provided. Finally, some examples and comparative analyses are furnished to illustrate the validity of the proposed models.

A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making.

Every decision may involve risks. Real-world risk issues are usually supervised by third parties. Decision-making may be affected by the absence of sufficient or reasonable trust or to the opposite, an unconditional, excessive, or blind trust, which is called trust risks. The conflict-eliminating process (CEP) aims to facilitate satisfactory consensus by decision makers (DMs) through continuous reconciliation between their opinion differences on the subject matter. This article addresses trust risks in CEP of social network group decision making (SNGDM) through third-party monitoring. A trust risk analysis-based conflict-eliminating model for SNGDM is developed. It is assumed that a third-party agency monitors the DMs' credibility and performance, which is recorded in an objective evaluation matrix and multi-attribute trust assessment matrix (MTAM). A trust risk measurement methodology is proposed to classify the DMs' different trust risk types and to measure the trust risk index (TRI) of a group of DMs. When TRI is unacceptable, a trust risk management mechanism that controls TRI is activated. Different management policies are applicable to DMs' different trust risk types. There are two main methods: 1) dynamically update the MTAM based on DMs' performance and 2) provide suggestions for modifying the DM's information with high TRI. Besides, as part of the integrated CEP, this model includes an optimization approach to dynamically derive DMs' reliable aggregation weights from their MTAM. Simulation experiments and an illustrative example support the feasibility and validity of the proposed model for managing trust risks in CEP of SNGDM.

UAV Communication Network Modeling and Energy Consumption Optimization Based on Routing Algorithm.

Topological information is provided, and research on the design of routing protocols for UAV self-assembling networks is conducted, in order to enable fleet communication transfer between UAVs and UAVs and enhance their communication transmission rate in the self-assembling network. A new routing protocol is proposed through greedy forwarding and peripheral forwarding of UAV self-assembling network communication data, UAV self-assembling network planarization processing, dynamic adjustment of routing mode based on topological information, and routing protocol decision content generation. The proposed network is described using stochastic geometry theory, with the UAV and building locations modeled as two independently distributed Poisson point processes and the building shape modeled as a rectangular body with height obeying the Rayleigh distribution. An estimated equation for typical user coverage is produced using this model. The simulation results show that the approximate expression matches with the simulation results with reduced computational complexity, which verifies the validity of the approximate analysis. By comparing it with the clustering-based routing protocol, it is concluded that the new routing protocol conditions for UAV self-assembly network can realize the communication transmission between UAVs and drones and further promote their communication transmission rate.

Nonreciprocal magnon laser.

A nonreciprocal magnon laser is proposed in a compound cavity optomagnonical system consisting of an yttrium iron garnet sphere coupled to a spinning resonator. On the basis of the magnon-induced Brillouin scattering process making it possible to achieve a magnon lasing action, the Fizeau light-dragging effect caused by the spinning of the resonator further results in significant modifications in the magnon gain and the threshold power of magnon lasing for different driving directions, and then a nonreciprocal magnon laser is realized. Especially, this nonreciprocal magnon laser is highly tunable by the spinning speed and the driving direction. Our work provides an experimentally feasible pathway for manipulating spin-wave excitations and may find intriguing phenomena at the crossroad between spintronics of the magnet and nonreciprocal optics.

Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization.

Recently, large-scale group decision making (LSGDM) in social network comes into being. In the practical consensus of LSGDM, the unit adjustment cost of experts is difficult to obtain and may be uncertain. Therefore, the purpose of this paper is to propose a consensus model based on robust optimization. This paper focuses on LSGDM, considering the social relationship between experts. In the presented model, an expert clustering method, combining trust degree and relationship strength, is used to classify experts with similar opinions into subgroups. A consensus index, reflecting the harmony degree between experts, is devised to measure the consensus level among experts. Then, a minimum cost model based on robust optimization is proposed to solve the robust optimization consensus problem. Subsequently, a detailed consensus feedback adjustment is presented. Finally, a case study and comparative analysis are provided to verify the validity and advantage of the proposed method.

Comparison of efficacy and complications between two types of staging arthroplasty in treating chronic septic hip arthritis: A retrospective clinical study.

Septic hip arthritis is a rare but serious disease, which is often persistent, able to transform into a chronic infection, and difficult to cure. The present study aimed to compare the midterm outcomes between the staging of a total hip arthroplasty via the Girdlestone surgery (a resection of the head and neck) and the Girdlestone combined with a cement spacer in treating chronic septic hip arthritis, as well as to compare the postsurgery efficacy and complications between the two groups. A total of 13 patients (14 total hip joints) were enrolled and retrospectively analyzed. For the stage I surgery, four patients (five hips) underwent the resection of the head and neck, and nine patients (nine hips) underwent the resection of the head and neck combined with the implantation of a bone cement spacer. After the infection was fully controlled, the patients in both groups underwent cementless total hip arthroplasties as stage II surgeries. The mean follow-up period was 24.2 months. The curative effects and complications of the patients were recorded and compared. It was found that the application of the staging arthroplasty for treating a chronic septic hip was conducive to the complete clearance of lesions. Notably, the implantation of a bone cement spacer containing antibiotics in the stage I surgery prevented joint contracture caused by a head and neck resection, reducing the risk of infection recurrence between the two stages of the operation. This effectively maintained the length of the lower limbs, simplified the stage II complete hip arthroplasty and reduced operative hemorrhage, thus achieving improved recovery of joint function after the stage II arthroplasty. The results suggested that the implantation of a cement spacer at the stage I surgery was more effective in treating chronic septic hip arthritis.

A Group Decision Making Approach Considering Self-confidence Behaviors and Its Application in Environmental Pollution Emergency Management.

Self-confidence as one of the human psychological behaviors has important influence on emergency management decision making, which has been ignored in existing methods. To fill this gap, we dedicate to design a group decision making approach considering self-confidence behaviors and apply it to the environmental pollution emergency management. In the proposed method, the self-confident fuzzy preference relations are utilized to express experts' evaluations. This new type of preference relations allow experts to express multiple self-confidence levels when providing their evaluations, which can deal with the self-confidence of them well. To apply the proposed group decision making method to environmental pollution emergency management, a novel determination of the decision weights of experts is given combining the subjective and objective weights. The subjective weight can be directly assigned by organizer, while the objective weight is determined by the self-confidence degree of experts on their evaluations. Afterwards, by utilizing the weighted averaging operator, the individuals' evaluations can be aggregated into a collective one. To do that, some operational laws for self-confident fuzzy preference relations are introduced. And then, a self-confidence score function is designed to get the best solution for environmental pollution emergency management. Finally, some analyses and discussions show that the proposed method is feasible and effective.

Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.

This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology uses a fuzzy set/qualitative comparative analysis (fsQCA), which allows the identification of a combination of factors that lead to the outcome that is stakeholders' satisfaction. It allows dealing with uncertain environments due to the heterogeneous nature of stakeholders and factors. The considered causes range from environmental objectives pursued, actual capacity of efficiently carrying out those objectives, socioeconomic development of the region, level of involvement and means of participation of the stakeholders engaged in the PPP, and alternative policies and measures that should be performed. Results support the argument that different causal paths explain the stakeholders' satisfaction. The methodology may help in the implementation of the WFD and conflict resolution since it leads to greater fairness, social equity, and consensus among stakeholders.

Transplantation of embryonic spinal cord neurons to the injured distal nerve promotes axonal regeneration after delayed nerve repair.

Peripheral nerve injury (PNI) usually results in poor functional recovery. Nerve repair is the common clinical treatment for PNI but is always obstructed by the chronic degeneration of the distal stump and muscle. Cell transplantation can alleviate the muscle atrophy after PNI, but the subsequent recovery of the locomotive function is seldom described. In this study, we combined cell transplantation and nerve repair to investigate whether the transplantation of embryonic spinal cord cells could benefit the delayed nerve repair. The experiment consisted of 3 stages: transection of the tibial nerve to induce 'pre-degeneration', a second surgery performed 2 weeks later for transplantation of E14 embryonic spinal cord cells or vehicle (culture medium) at the distal end of the injured nerve, and, 3 months later, the removal of the grafted cells and the cross-suturing of the residual distal end to the proximal end of a freshly cut ipsilateral common peroneal (CP) nerve. Cell survival and fate after the transplantation were investigated, and the functional recovery after the cross-suturing was compared between the groups. The grafted cells could survive and generate motor neurons, extending axons that were subsequently myelinated and forming synapses with the muscle. After the cross-suturing, the axonal regeneration from the proximal stump of the injured CP nerve and the functional recovery of the denervated gastrocnemius muscle were significantly promoted in the group receiving the cells. Our study presents a new perspective indicating that the transplantation of embryonic spinal cord neurons may be a valuable therapeutic strategy for PNI.

Population pharmacokinetics of pomalidomide.

A population pharmacokinetic (PPK) model of pomalidomide was developed and the influence of demographic and disease-related covariates on PPK parameters was assessed based on data from 6 clinical trials of pomalidomide (dose range, 0.5-10 mg) in healthy participants (n = 96) and patients with multiple myeloma (MM; n = 144). PPK data described herein suggest that systemic clearance of pomalidomide is comparable between healthy study participants and patients with MM. However, apparent peripheral volume of distribution and apparent intercompartmental clearance between central and peripheral compartments were 8- and 3.7-fold higher in patients with MM vs. healthy subjects, suggesting drug exposure is higher in peripheral compartments of patients with MM vs. healthy subjects. Covariate analysis suggested pomalidomide clearance is not affected by demographic factors except for gender, and it is unlikely this factor is clinically relevant. In addition, renal function as measured by creatinine clearance or renal impairment (RI) does not significantly affect clearance of pomalidomide. In conclusion, pomalidomide has robust pharmacokinetic exposure, not affected by demographic factors or renal impairment. Pomalidomide is preferentially taken up by tumors over healthy tissues in patients with MM.