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Examines the motivational preferences of Caribbean hotel workers and the impact of individual differences on these preferences by questionnaire. Two‐hundred‐and‐twenty‐five workers from seven hotels in the Bahamas ranked ten factors according to how they motivated them on the job. In general, the hotel workers in this study were motivated most by higher wages. However, differences in age, organizational level and number of years in the same position also influenced workers′ motivational preferences. Suggests that Caribbean hotel managers need to implement creative monetary incentive programmes for their employees while, at the same time, developing different motivational strategies for different groups of workers.

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

This paper examines coverage of America’s death penalty in “mainstream” and “radical” newspapers in the 1970s. That decade was a crucial period for capital punishment, and newspapers during that time helped set the trajectory of the public’s awareness and understanding for the remainder of the twentieth century. While scholars have recognized the role played by newspaper framing of capital punishment, most have limited their consideration to the mainstream press. We broaden the consideration to the radical press and note similarities in the treatment of the moral status of the death penalty across newspapers of different types. We find that the radical press was more likely to portray it as an instrument of racial and class oppression. In addition, long before mainstream papers attended to questions about the reliability of the death penalty system, radical papers were calling attention to the number of innocent people who were erroneously sentenced to death. Like dissenting opinions in judicial decisions, the radical press highlighted issues not emphasized in mainstream papers and foresaw concerns that would become important in the death penalty debate a decade or two later.

The purpose of this paper is to develop, apply and validate a mesh-free graph theory–based approach for rapid thermal modeling of the directed energy deposition (DED) additive manufacturing (AM) process.

In this study, the authors develop a novel mesh-free graph theory–based approach to predict the thermal history of the DED process. Subsequently, the authors validated the graph theory predicted temperature trends using experimental temperature data for DED of titanium alloy parts (Ti-6Al-4V). Temperature trends were tracked by embedding thermocouples in the substrate. The DED process was simulated using the graph theory approach, and the thermal history predictions were validated based on the data from the thermocouples.

The temperature trends predicted by the graph theory approach have mean absolute percentage error of approximately 11% and root mean square error of 23°C when compared to the experimental data. Moreover, the graph theory simulation was obtained within 4 min using desktop computing resources, which is less than the build time of 25 min. By comparison, a finite element–based model required 136 min to converge to similar level of error.

This study uses data from fixed thermocouples when printing thin-wall DED parts. In the future, the authors will incorporate infrared thermal camera data from large parts.

The DED process is particularly valuable for near-net shape manufacturing, repair and remanufacturing applications. However, DED parts are often afflicted with flaws, such as cracking and distortion. In DED, flaw formation is largely governed by the intensity and spatial distribution of heat in the part during the process, often referred to as the thermal history. Accordingly, fast and accurate thermal models to predict the thermal history are necessary to understand and preclude flaw formation.

This paper presents a new mesh-free computational thermal modeling approach based on graph theory (network science) and applies it to DED. The approach eschews the tedious and computationally demanding meshing aspect of finite element modeling and allows rapid simulation of the thermal history in additive manufacturing. Although the graph theory has been applied to thermal modeling of laser powder bed fusion (LPBF), there are distinct phenomenological differences between DED and LPBF that necessitate substantial modifications to the graph theory approach.