Health psychology was founded as a response to social needs for better understanding and regulation of psychological aspects of biological, mental, and social well-being. Despite initial enthusiasm and optimism in its early days, three decades of development yielded results that are disappointing to many scholars in terms of health psychology practical meaning. Thus, in this paper we review several challenges for health psychology. We believe that health psychology might benefit from revival of aims and values that distinguished the discipline at its onset such as bio-psycho-social perspective that has been narrowed to somatic illness in recent days. Second, more integration is needed in theory and terminology to eliminate overlapping concepts labeled with different names. Furthermore, social practice would benefit from greater responsiveness of health psychologists to new technologies. Finally, health psychology is likely to derive benefits from more general well-established perspectives on diffusion of innovation in social practice. We conclude that health psychology as a practice-related scientific discipline is likely to regain its initial momentum once these problems are solved and novel areas of scientific exploration are identified.
This paper presents for the first time X-ray computed microtomography (μCT) analysis as a technique for Silurian graptolite detection in rocks. The samples come from the Jantar Bituminous Claystones Member of the Opalino core, Baltic Basin, northern Poland. Images were obtained with spatial resolution of 25 μm, which enabled the authors to create a 3-D visualization and to calculate the ratio of fissure and graptolite volume to the total sample volume. A set of μCT slices was used to create a 3-D reconstruction of graptolite geometry. These μCT slices were processed to obtain a clearly visible image and the volume ratio. A copper X-ray source filter was used during exposure to reduce radiograph artifacts. Visualization of graptolite tubaria (rhabdosomes) enabled Demirastrites simulans to be identified. Numerical models of graptolites reveal promising applications for paleontological research and thus for the recognition and characterization of reservoir rocks.