Risk communication in multistakeholder engagement: A novel spatial econometric model.

Existing studies on the environmental Kuznets curve (EKC) neglect the inverse effect of pollution transfer from environmental regulation interactions on pollution reduction from a risk analysis perspective. Based on the regional differentiated attitudes on the environmental regulation reached in risk communication by the risk awareness biases of multiple interest groups, this article clarifies the causality between risk communication and risk transfer based on multistakeholder engagement processes; furthermore, the article incorporates the simultaneous action of the technological innovation effect and pollution risk transfer effect to construct a spatial environmental hyperbolic model with a bidirectional correlation between pollution emissions and economic growth in different regions. To verify our model, we select the pollution from agricultural watersheds in China as a sample to examine the two inverse effects. The results demonstrate that (1) agricultural watershed pollution and economic growth show an inverted U-shaped relation and a U-shaped relation in the local region and adjacent regions, respectively; (2) the pollution reduction assessment of the classical EKC model can be largely attributed to pollution risk transfer behavior; and (3) the turning point of the U-shaped curve appears earlier than that of the inverted U-shaped curve in the spatial hyperbola model. The findings suggest that stakeholders should consider the risk awareness bias caused by the imbalance of regional economic development and the scenarios that provide a "haven" for pollution risk transfer. Moreover, our study expands the theoretical connotation of the classical EKC hypothesis and is more suitable for pollution reduction scenarios in developing countries.

Risk aggregation considering probabilistic and consequential interactions: A general formulation with computational cost handling.

Complicated interaction between risk events is the critical obstacle preventing accurate risk aggregation, which is an important issue in risk management. Recent research integrates interaction into risk aggregation with different perspectives and lacks a comprehensive discussion of this issue, making the risk aggregation process not universal for diverse cases, especially in subjective risk assessment contexts. Therefore, this article proposes a theoretically convincing risk aggregation method embedding different types of interaction to support decision analysis more effectively. The main contributions of this article are as follows: (a) more in-depth and stricter definitions, measures, and graphical descriptions of different types of interaction are developed to ensure the accuracy of risk aggregation; (b) a formal risk aggregation approach that could apply in both objective and subjective risk assessment contexts while elegantly embedding risk interactions is proposed; (c) the additivity of risks and risk sets in the risk aggregation process is discussed in detail and the conditions for additivity are clarified; (d) the quasi-two/three-additive measures, which approximately obtain the aggregate risk value within sufficient reliability, are proposed to greatly reduce the computational cost. To examine the applicability of the proposed general risk aggregation method, a case study is finally presented to show the complete risk aggregation process and its application in the decision-making stage.

How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach.

Risk matrices have been widely used as a risk evaluation tool in many fields due to their simplicity and intuitive nature. Designing a rating scheme, i.e., determining the number of ratings used in a risk matrix and assigning different ratings to different cells, is an essential part of risk matrix construction. However, most of the related literature has focused on applying a risk matrix to various fields, instead of researching how to design risk matrices. Based on the analysis of several current rules, we propose a new approach, namely, the sequential updating approach (SUA), to design the rating scheme of a risk matrix in a reliable way. In this article, we propose three principles and a rating algorithm based on these principles. The three principles, namely, adjusted weak consistency, consistent internality, and continuous screening, characterize a good rating scheme. The resulting rating scheme has been proven to be unique. A global rating algorithm is then proposed to create the design that satisfies the three principles. We then explore the performance of the SUA. An illustrative application is first given to explain the feasibility of our approach. The sensitivity analysis shows that our method captures a resolution-reliability tradeoff for decisionmakers in choosing an appropriate rating scheme for a risk matrix. Finally, we compare the designs based on the SUA and Cox's axioms, highlighting the advantages of the SUA.

A reflecting Pockels cell with aperture scalable for high average power multipass amplifier systems.

In high average power multi-pass amplifier systems, Pockels cell, used for isolating and controlling number of passes, encounters both limitation of aperture and thermo-effects. We propose and demonstrate for the first time, as far as we know, a reflecting Pockels cell (RPC) which is longitudinally excited based on KD*P utilizing matched a discharge chamber and a copper plate as electrodes. In the RPC, electro-optic crystal can be longitudinally conduction-cooled. This device, with a 40 mm x 40 mm clear aperture, can be scaled to larger, and driven by one low voltage pulse. Excellent switching efficiency, high static extinction ratio, and negligible thermo-effects have been achieved.

One-pulse driven plasma Pockels cell with DKDP crystal for repetition-rate application.

Pockels cell (PPC), which can use a thin crystal to perform the uniform electro-optical effect, is ideal component as average-power optical switch with large aperture. In this paper, the key problems in PPC are analyzed for repetition-rate application, and thermo-optical effects are simulated by means of numerical modeling when average power is loaded on the electro-optical crystal. By reformative design and employing a capacity to share the gas discharge voltage, the DKDP PPC driven by one pulse is realized. As gas breakdown delay time is stable, and discharge plasma is uniformly filled the full aperture, it meets the demand of plasma electrode for the repetition-rate PPC with DKDP crystal. The switch efficiency of PPC at the whole aperture is better than 99%.

[Adverse effects of nonylphenol on the reproductive function of adult male SD rats].

OBJECTIVE: To assess the adverse effects of both in vivo and in vitro exposure to nonylphenol on the reproductive function of adult male SD rats. METHODS: Adult male SD rats were sacrificed after they had received oral nonylphenol at 50, 100, 200 mg/kg for 28 days. Both indications related to their reproductive function and histopathological section of testis were analyzed. In vitro study of testicular cells from adult male rats by use of culture solution with different nonylphenol concentrations was conducted. Testosterone production in cell culture medium was examined and the ultrastructure of Leydig cell, Sertoli cell and spermatogenesis cell were observed under electron microscope. RESULTS: In vivo study of the experiment animals in comparison with the controls revealed that sperm count and motility in testis of adult rats exposed to nonylphenol at doses of 100 mg/kg and above were significantly decreased, and the histopathological sections of testis showed atrophied seminiferous tubules and decreased spermatogenesis. In vitro study of testicular cell culture showed that testosterone secretion was inhibited. And electron microscopy disclosed that the endoplasmic reticulum of Leydig cell swelled, which might indicate the reduction of testosterone biosynthesis. CONCLUSION: Nonylphenol at higher dose directly impairs the reproductive function of adult male SD rats.