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This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.

Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.

The purpose of this paper is to introduce an efficient algorithm based on a non-linear accepting threshold to solve the redundancy allocation problem (RAP) considering multiple redundancy strategies. In addition to the components reliability, multiple redundancy strategies are simultaneously considered to vary the reliability of the system. The goal is to determine the optimal selection of elements, redundancy levels and redundancy strategy, which maximizes the system reliability under various system-level constraints.

The mixed RAP considering the use of active and standby components at the subsystem level belongs to the class of NP-hard problems involving selection of elements and redundancy levels, to maximize a specific system performance under a given set of physical and budget constraints. Generally, the authors recourse to meta-heuristic algorithms to solve this type of optimization problem in a reasonable computational time, especially for large-size problems. A non-linear threshold accepting algorithm (NTAA) is developed to solve the tackled optimization problem. Numerical results for test problems from previous research are reported and analyzed to assess the efficiency of the proposed algorithm.

The comparison with the best solutions obtained in previous studies, namely: genetic algorithm, simulated annealing, memetic algorithm and the particle swarm optimization for 33 different instances of the problem, demonstrated the superiority of the proposed algorithm in finding for all considered instances, a high-quality solution in a minimum computational time.

Considering multiple redundancy strategies helps to achieve higher reliability levels but increases the complexity of the obtained solution leading to infeasible systems in term of physical design. Technological constraints must be integrated into the model to provide a more comprehensive and realistic approach.

Designing high performant systems which meet customer requirements, under different economic and functional constraints is the main challenge faced by the manufacturers. The proposed algorithm aims to provide a superior solution of the reliability optimization problem by considering the possibility to adopt multiple redundancy strategies at the subsystem level in a minimum computational time.

A NTAA is expanded to the RAP considering multiple redundancy strategies at the subsystem level subject to weight and cost constraints. A procedure based on a penalized objective function is developed to encourage the algorithm to explore toward the feasible solutions area. By outperforming well-known solving technique, the NTAA provides a powerful tool to reliability designers of complex systems where different varieties of redundancies can be considered to achieve high-reliability systems.

The March issue of the Journal of Chemical Technology contains the following article, with every word of which we cordially agree. It is gratifying to find that there is one—if only one—of our scientific Journals which has the courage and the patriotism to speak out and to do so in vigorous terms. The indictment of the flabby persons belonging to the Chemical Profession who by their ineptitude and inertia are condoning the bestial crimes of the modern Huns is well‐timed and thoroughly deserved.

The general quality of milk supplied by the cows will also affect the question, and in this connection it may be noted that Mr. Lehmann stated to the Departmental Committee that Dutch cows do not produce a milk so rich in fat as these of Switzerland; an examination of the figures given tends to corroborate this view. Dutch milks appear to require concentration to a higher degree in order to provide as large a proportion of fat as Swiss or Norwegian made milk.

This descriptive-correlational study used a census of Ohio State University Extension county directors and a random sample of county staff throughout the State of Ohio. Data were collected utilizing Bar-On’s Emotional Intelligence Quotient instrument (county directors) and Warner’s job satisfaction instrument (county staff).

The study examined the relationships between emotional intelligence of county directors, job satisfaction of county staff and several demographic characteristics. Stepwise linear regression analysis was used to measure the proportion of variance in county staff’s job satisfaction that could be explained by county directors’ emotional intelligence and demographic characteristics.

The findings suggested there is not a significant relationship between emotional intelligence of unit directors and job satisfaction of staff. The researchers concluded the level of job satisfaction of staff was not influenced by the level of emotional intelligence of unit directors. Some correlations existed between job satisfaction and selected demographic characteristics. These findings may be of interest to individuals who serve in a variety of leadership roles within organizations.

Leadership is a concept that has always been a major component of Colleges of Agriculture. Undergraduate student have numerous opportunities to develop their leadership skills and abilities though formal coursework, collegiate organizations, and personal leadership activities. This ethnographic qualitative research study investigated the leadership characteristics of outstanding seniors in the College of Food, Agricultural, and Environmental Sciences (CFAES) at The Ohio State University. The study utilized a semi-structured interview methodology. The objectives of the study were to 1) Determine the leadership development experiences of the outstanding seniors prior to their enrolling in college, 2) Identify the leadership development activities in which they participated during their undergraduate studies, 3) Identify their self-perceived strengths, weaknesses, and leadership influences, 4) Identify the personal and professional leadership goals. Results indicate that the outstanding seniors had significant leadership development experiences in FFA and 4-H while in high school. They continued to participate in leadership activities in dozens of different collegiate organizations, both within and outside of the College of Food, Agricultural, and Environmental Sciences. The outstanding seniors had a passionate belief in their own leadership ability, believed strongly in servant leadership, and used their leadership to the benefit of the organizations in which they were members.