The products of 193 nm photolysis of formaldoxime (CH2NOH) are studied in solid argon at 17 K. Four
species are experimentally found to appear in the photolysis, and they are identified with the aid of ab initio
calculations as different HCN/HNC−water complexes: NCH···OH2, HCN···HOH, CNH···OH2, and HNC···HOH. The HNC−water complexes are experimentally observed for the first time. Computationally, the
NCH···OH2 complex possesses the lowest energy and the HCN···HOH complex is 5.3 kJ mol-1 higher in
energy. The two HNC−water complexes are 60−70 kJ mol-1 higher in energy than the HCN−water complexes.
The CNH···OH2 is calculated to be the strongest complex with an interaction energy of about −30 kJ mol-1.
The barrier separating the HCN/HNC systems is high enough to prevent interconversion between them by IR
pumping of the fundamental vibrations. On the other hand, rearrangement inside the two chemical systems
is achievable with selective IR excitation of the OH, CH, and NH stretching vibrations.
In the last decade, Augmented Reality (AR) has been one of the emerging technologies that have been in the centre of attention among academics and business practitioners. Despite the numerous studies which have demonstrated the multitude of benefits derived from AR applications, the technology has not reached yet its full potential due to various bottlenecks which are preventing it from becoming the mainstream technology that many have anticipated. In this paper, we first present briefly the history of AR followed by the evolution of related software algorithms and hardware devices. The main contribution of this paper is the overview of the drivers and challenges related to the adoption and diffusion of AR across five major application domains; (a) industry and military, (b) training and education, (c) travel and tourism, (d) medicine and health care and (e) retail and marketing. Such overview facilitates especially a cross-domain comparison, which here enabled us to identify a list of five drivers and five bottlenecks in the adoption of the current AR technology.
& Context One of the most important wood defects affecting the value yield from European beech (Fagus sylvatica [L.]) logs is knots that are visible on the sawn wood surface. The non-invasive technology of X-ray computed tomography (CT) can be used for the assessment of log internal features, especially the geometry and position of knots before primary breakdown to support the decision of value-optimised log rotation in sawmills. & Aims The objective of this study was to test whether valueoptimised log rotation can be performed successfully by using the CT-derived knowledge of internal knottiness for the hardwood species beech. & Methods Size parameters of 670 knots were measured and their position was marked in CT images from 33 logs. The 3Dreconstructed logs were virtually sawn in 12 different rotational angles using the software InnoSIM. This allowed visual grading of the simulated sawn wood and the calculation of product volume and value. & Results The results show that if optimal rotation was applied to each single log, both total volume as well as total product value yield could be improved by up to 24 % compared with the average yield of all simulated rotational angles. & Conclusion In this small-scale study, it is demonstrated that CT technology could be used to support the decision about optimal rotational angle of beech logs to maximise volume and value yield.
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