Temperature-dependent alterations of brown adipose tissue metabolism during hibernation in the thirteen-lined ground squirrel, \u3ci\u3eIctidomys tridecemlineatus\u3c/i\u3e.

Brown adipose tissue (BAT) is the major thermogenic tissue in small eutherian mammals. In hibernators, seasonal modifications of BAT are well documented but little is known about its functional regulation during hibernation. BAT metabolism is activated by sympathetic stimulation, so I hypothesized that further regulation at the mitochondrial level, as seen in other hibernator tissues, would be of little advantage. Contrary to my predictions, respiration rates of BAT mitochondria isolated from torpid thirteen-lined ground squirrels were suppressed by up to 62% compared with rates from individuals that aroused to interbout euthermia (IBE), when measured at 37°C. At 10°C, however, these rates did not differ between torpor and IBE. Contrary to these results, activities of electron transport system enzymes and brown adipocyte respiration did not differ between torpor and IBE, regardless of assay temperature. The data suggest that BAT mitochondria become less temperature sensitive during torpor, allowing sustained function at low body temperatures

Towards the deployment of customer orientation: A case study in third-party logistics

Customer orientation concerns the degree to which an organisation focuses on customers, recognises their desires and places meeting their needs as a first priority. As managing the needs of individual customers in supply chains become increasingly important, logistics companies have been recognising customer orientation as a critical aspect of their success. This study explores some of the challenges in the deployment of customer oriented logistics systems and argues that the so-called product intelligence model can provide an approach for developing such systems. Using an industrial case study, in this paper we examine customer orientation for a third-party logistics provider by examining both the development of information systems that enable the offering of exible logistics offerings to the end customer and the impact of providing these offerings on a company's performance. We conclude with a set of functionalities required by information systems of logistics providers that wish to enhance customer orientation in their offering

Customising with 3D printing: The role of intelligent control

© 2018 Elsevier B.V. The emergence of direct digital manufacturing creates new opportunities for the production of highly customised goods especially when it is combined with conventional manufacturing methods. Nevertheless, this combination creates a need for systems that can effectively manage and control the resulting distributed manufacturing process. In this paper, we explore three different configurations that can enable direct digital manufacturing for customisation, ranging from fully integrated to inter-organisational set up. Additionally, control requirements of such systems are developed and the suitability of intelligent control is explored. By ‘intelligent control’ we mean production control that is capable of assessing and interacting with the production environment and adapting production accordingly. We argue that the so called intelligent product paradigm provides a suitable mechanism for the development of such intelligent control systems. In this approach, the intelligent product directly co-ordinates with design agent, 3D printing agents and other conventional manufacturing system agents to schedule, assign and execute tasks independently. Via a case example of a realistic production system, we propose and implement such an intelligent control system and we analyse its feasibility in supporting 3D printing enabled customisation

Modelling food sourcing decisions under climate change: A data-driven approach

Changes in climate conditions are expected to pose signi cant challenges to the food industry, as it is very likely that they will a ect the production of various crops. As a consequence, decisions associated with the sourcing of food items will need to be reconsidered in the years to come. In this paper, we investigate how environmental changes are likely to a ect the suitability and risk of di erent regions |in terms of growing certain food items| and whether companies should adapt their sourcing decisions due to these changes. In particular, we propose a three-stage approach that guides food sourcing decisions by incorporating climate change data. The methodology utilises environmental data from several publicly available databases and models weather uncertainties to calculate the suitability and risk indices associated with growing a crop in a particular geographical area. The estimated suitability and risk parameters are used in a mean-variance analysis to calculate the optimal sourcing decision. Results from a case example indicate that sourcing decisions of popular food items are likely to require signi cant adaptations due to changes to the suitability of certain regions