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Many States in America have enacted laws to encourage redevelopment of contaminated urban properties. The laws attempt to do this by addressing one barrier to redevelopment, the environmental liability attached to contaminated urban properties. In general, the laws attempt to remove or reduce the significance of that barrier by reducing or eliminating the environmental liability risk attached to these properties. Our hypothesis was that these efforts cannot encourage significant redevelopment because they fail to address non‐environmental barriers to urban redevelopment. To determine whether this legislative focus on environmental liability is misplaced, we conducted a survey of Northeast Ohio businesses which had decided, since the enactment of Ohio’s brownfields law, either to move to a new location, or to expand at an existing location. The survey asked businesses to rank the relative importance to their relocation decision of environmental and non‐environmental factors. The results of the survey show that numerous non‐environmental factors were of equal or greater importance to decision‐makers than the environmental status of the property. Therefore, legislative efforts to encourage redevelopment of contaminated urban properties must be expanded to address non‐environmental barriers to redevelopment

The study examines the financial and regulatory factors that influenced the extent of derivative activity at twenty-five large international dealer banks during the 1995–1997 period. The findings indicate that their derivative activity is directly related to the size of the bank's capital ratio, asset size, maturity gap, and credit rating, but inversely related to bank profitability. The greater the opportunity for commercial banks to pursue investment banking activities the less incentive they have to expand their level of derivative activity. Banks that are allowed to make direct investment in industrial firms appear to have more opportunities to cross-sell various types of derivatives, such as swaps.

Notes recent dramatic growth in international banking, outlines the US historical and legal background to it and reviews previous research trying to explain why banks establish offices outside their home country. Develops a mathematical model to investigate the factors determining the extent of foreign bank penetration in the US financial market and applies it to 1984‐95 data for Canada, France, Germany, Japan and the UK. Finds that expansion abroad is positively linked to the size of the home country’s banking industry and capital market; the need to respond to domestic credit market conditions; and the levels of trade and exchange rates between countries. Discusses the differences between the individual countries studied and consistency with other research; and considers the implications for US banks.

The President of the Board of Agriculture has introduced in the House of Commons his long‐promised Bill for preventing the sale of butter containing large amounts of water, and the proposed measure appears to have been received with general approval on both sides of the House.

The purpose of this paper is to identify information governance (IG) requirements in the context of dynamic business networking (BN).

For the identification of IG requirements a systematic literature review is conducted. The practical significance of identified IG requirements is evaluated through a case study.

A comprehensive list of IG requirements in dynamic BN is identified. These requirements are classified in information quality, information security, and metadata domains. The conducted case study demonstrates information exchange issues in a real world dynamic BN that reflects the practical significance of the identified IG requirements.

Exploiting emerging market opportunities through a dynamic BN necessitates the realization of a comprehensive IG program within the network. Otherwise, information exchange related risks can interrupt the operations in a BN. In this research the authors concentrate on interactions between parties within a BN. The interactions with customers for the co-creation of value are not addressed directly. Although the conducted case study reflects the practical significance of the identified IG requirements clearly, more empirical study is needed for prioritizing these IG requirements.

The governor of a BN needs to balance between the value obtained from dynamic networked interactions and the risk evolving from the dynamic inter-organizational information exchange.

The comprehensive list of IG requirements that are identified in this research can be used to develop an IG program that enables high quality and secure information exchange in a dynamic BN.

[On November 7 last, at a meeting of the society which we regret to see is still incorrectly styled the “Society of Public Analysts,” a valuable and highly interesting paper, entitled “The Analyst and the Medical Man,” was read by Dr. F. Gowland HOPKINS, who attended the meeting by invitation for this purpose.

Existing research demonstrates that consumers prefer advertising that aligns with their values and beliefs but can also be distrustful of claims of corporate social responsibility. The purpose of this paper is to explore consumers’ perceptions of femvertising in relation to their worldview. Femvertising is defined as “advertising that employs pro-female talent, messages, and imagery to empower women and girls” (Skey, 2015).

A survey of US adults (n = 419) was used to investigate attitudes toward femvertising as they relate to gender, age, support for women’s rights, feminist self-identification, political affiliation and trust in advertising.

Structural equation modeling revealed several antecedents and consequences of attitude toward femvertising. The findings suggest that women’s rights supporters and self-identifying feminists seem highly receptive of femvertising.

Taken together, the findings clarify how femvertising can be an effective strategy for marketers and how it fits within the current advertising literature.

Nonlinear model predictive control (NMPC) is emerging as a way to control unmanned aircraft with flight control constraints and nonlinear and unsteady aerodynamics. However, these predictive controllers do not perform robustly in the presence of physics-based model mismatches and uncertainties. Unmodeled dynamics and external disturbances are unpredictable and unsteady, which can dramatically degrade predictive controllers’ performance. To address this limitation, the purpose of this paper is to propose a new systematic approach using frequency-dependent weighting matrices.

In this framework, frequency-dependent weighting matrices jointly minimize closed-loop sensitivity functions. This work presents the first practical implementation where the frequency content information of uncertainty and disturbances is used to provide a significant degree of robustness for a time-domain nonlinear predictive controller. The merit of the proposed method is successfully verified through the design, coding, and numerical implementation of a robust nonlinear model predictive controller.

The proposed controller commanded and controlled a large unmanned aerial system (UAS) with unsteady and nonlinear dynamics in the presence of environmental disturbances, measurement bias or noise, and model uncertainties; the proposed controller robustly performed disturbance rejection and accurate trajectory tracking. Stability, performance, and robustness are attained in the NMPC framework for a complex system.

The theoretical results are supported by the numerical simulations that illustrate the success of the presented technique. It is expected to offer a feasible robust nonlinear control design technique for any type of systems, as long as computational power is available, allowing a much larger operational range while keeping a helpful level of robustness. Robust control design can be more easily expanded from the usual linear framework, allowing meaningful new experimentation with better control systems.

Such algorithms allows unstable and unsteady UASs to perform reliably in the presence of disturbances and modeling mismatches.

This article aims to present a unique systematic and validated method for creating a linkage between past experiences and management of future occurrences in an organization.

The study is based on actual data accumulated in a series of projects performed in a major medical center. Qualitative and quantitative content analyses were performed on 158 debriefing documents that were generated during two years. The analyses yielded a dataset which was utilized for cluster analysis to construct an organizational hierarchical risk tree.

Three major project phases were found to be the most influential: planning, executing, and controlling. The major risk areas identified were found to be those related to the initial work plan, professional responsibility definition, quality control, and communication management.

The study focuses on the aspects of organizational learning and suggests a new interpretation method for debriefing documents and a utilization method to mitigate potential risks. The most important outcome of the synergy was a new ability enabling staff members to improve their qualifications on a continuous basis. However, further research is required to examine the medical center debriefing and risk management from a long‐term perspective.

The current study was conceived during a discussion on the subject of safety improvement, where the impact of human behavior on risk events occurrence was debated. Hence, the paper was dedicated to analyzing the effects of the expanding limits of the prognosis “to err is human”. The method enables organizations to develop a tailored risk mitigation plan based on its accumulated processes and projects lessons‐learned. Although the paper describes a process conducted in a medical center, the method and findings are applicable to many other organizations.