Basic skill requirements for selected Army occupational training courses

This study investigated the basic cognitive skills soldiers must possess before entering the Army, skills that are needed for successful completion of entry-level training. Judgments of 126 instructors from 25 military occupational specialties were obtained on 129 candidate skills, which resulted in the identification of 55 basic skills. Factor analysis of these 55 skill items resulted in 11 interpretable factors. Mean scores on the factors were compared across factors and across Army training schools. The results of the study suggest that, for all occupational specialties studied, skills related to the learning process are as crucial as traditional academic skills for successful training course completion. These results have important implications for training for the Army as well as for industry.     

Financing Universities in the Federal Republic of Germany

Financing universities in times of increasing demands in all fields of public expenditure is a problem of nearly all European counnies not least because of the ongoing process of European integration. Comparing the different national systems of financing universities may be a means to foster cooperation and competition in a step by step growing network of universities in the European Community. This paper tries to give some insights into the German system; special considerotion is given to its federal structure and its implications for the universities' financthg system, because these problems may be of interest to other countries also. Of course this survey cannot be complete; details must be left to detailed information. The first part of the paper gives a survey of the higher education system in the Federal Republic of Gennany. The second part deals with the sources of funds, including the structure of mong streams to the universities. The third part refffs to the restrictions in using state money in the universities and the problems resulting; the fourth and final part concentrates on problems of the future, especially getring third party finds, and the diversifiation. of financing.     

Quantum algorithms: A?survey of some recent results

Quantum algorithms are a field of growing interest within the theoretical computer science as well as the physics community. Surprisingly, although the number of researchers working on the subject is ever-increasing, the number of quantum algorithms found so far is quite small. In fact, the task of designing new quantum algorithms has been proven to be extremely difficult. In this paper we give an overview of the known quantum algorithms and briefly describe the underlying ideas. Roughly, the algorithms presented are divided into hidden subgroup type algorithms and in amplitude amplification type algorithms. While the former deal with problems of group-theoretical nature and have the promise to yield strong separations of classical and quantum algorithms, the latter have been proved to be a prolific source of algorithms in which a polynomial speed-up as compared to classical algorithms can be achieved. We also discuss quantum algorithms which do not fall under these two categories and give a survey of techniques of general interest in quantum computing such as adiabatic computing, lower bounds for quantum algorithms, and quantum interactive proofs.     

Meta-analysis: a tool for medical and scientific discoveries.

Medicine has made increasing use of meta-analysis, largely as a quantitative procedure for combining results of clinical trials. Meta-analysis begins with a comprehensive review of the literature. The next step is a systematic analysis of the quality and content of each study. Finally, results are combined statistically and conclusions are drawn from this new overview of the data. This paper presents a brief historical perspective on the use of meta-analysis in medicine with emphasis on the medical library. The authors conclude that in the future, medical librarians will play a significant role in the application of this useful technique.     

Chaos theory, informational needs, and natural disasters

This study applies chaos theory to a system-wide analysis of crisis communication in a natural disaster. Specifically, we analyze crisis communication during the 1997 Red River Valley flood in Minnesota and North Dakota. This flood, among the worst in modern American history, consumed entire metropolitan areas, displacing thousands of people. The conditions and decisions leading to the disaster, and the subsequent reactions are retraced. Communication related to river crest predictions (fractals), the shock at the magnitude of the crisis (cosmology episode), novel forms of reorganizing (self-organization), and agencies that aided in establishing a renewed order (strange attractors) are evaluated. Ultimately, we argue that preexisting sensemaking structures favoring rationalized, traditional views of a complex system led officials to make inappropriately unequivocal predictions and ultimately diminished the effectiveness of the region's crisis communication and planning.