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This paper provides a cost estimating framework for electrical, electronic and electromechanical (EEE) components obsolescence, which represents the main source of obsolescence issues, owing to the increasingly short life cycle of these types of component. The framework comprises several areas: component complexity levels, obsolescence management levels, obsolescence resolution profiles and obsolescence cost metrics. Several studies, based on the literature and on interaction with numerous obsolescence management experts from industry, have been employed in this research, following a systematic approach. The framework is able to estimate the non-recurring cost of obsolescence during the contracted period within the in-service phase. This is based on the information available at the bidding stage concerning the product breakdown structure (PBS) and the obsolescence management strategy deployed. This framework has been validated at four different UK organizations in the defence and aerospace sectors using seven case studies, one of which is presented in this paper in detail. [ABSTRACT FROM PUBLISHER]

This paper presents a study assessing the probability of selecting a resolution approach to tackle an obsolescence issue. First, the Delphi method was applied across an industry expert panel to derive a set of 15 obsolescence resolution profiles (ORPs). The ORPs represent the probability of using each obsolescence resolution approach to tackle an obsolescence issue. Each ORP is characterized by the complexity level of the obsolete component and the level of proactiveness for obsolescence management, which have been identified as the two major factors that influence the probability of using each resolution approach. Second, the results were enhanced by means of a definitions refinement workshop. Finally, the ORPs were refined and validated by means of a workshop with experts based on the theoretical trends expected for each resolution probability. More than 40 experts in obsolescence from across the UK from the defence, aerospace, railway and nuclear sectors have participated in the study. [ABSTRACT FROM PUBLISHER]

The popularity of implants is increasing with the aging population requiring oral-dental rehabilitation. There are several critical steps in the implant workflow, including case selection, implant design, surgical procedure, biological tissue responses, and functional restoration. Among these steps, surgical osteotomy procedures are a crucial determinant of clinical success. This brief review was aimed at outlining the current state of the field in automation-assisted implant surgical osteotomy technologies. A broad search of the literature was performed to identify current literature. The results are outlined in three broad categories: semi-automated static (image-guided) or dynamic (navigation-assisted) systems, and fully-automated robotic systems. As well as the current mechanical rotary approaches, the literature supporting the use of lasers in further refinement of these approaches is reviewed. The advantages and limitations of adopting autonomous technologies in practical clinical dental practices are discussed. In summary, advances in clinical technologies enable improved precision and efficacious clinical outcomes with implant dentistry. Hard-tissue lasers offer further advancements in precision, improved biological responses, and favorable clinical outcomes that require further investigation.

There is a paradoxical relationship between obesity, as measured by BMI, and many types of cancer, including non-small-cell lung cancer. Obese non-small-cell lung cancer patients have been shown to fare better than their non-obese counterparts. To analyze the multifaceted effects of obesity on oncologic outcomes, we reviewed the literature on the obesity paradox, methods to measure adiposity, the obesity-related derangements in immunology and metabolism, and the oncologic impact of confounding variables such as gender, smoking, and concomitant medications such as statins and metformin. We analyzed how these aspects may contribute to the obesity paradox and cancer outcomes with a focus on lung cancer. We concluded that the use of BMI to measure adiposity is limited and should be replaced by a method that can differentiate abdominal obesity. We also concluded that the concomitant metabolic and immunologic derangements caused by obesity contribute to the obesity paradox. Medications, gender, and smoking are additional variables that impact oncologic outcomes, and further research needs to be performed to solidify the mechanisms.