Are there differences between the sale of an unopened Super Mario Bros. computer game and of the digital collage of 5,000 images? Viewed from the perspective of the doctrine of exhaustion, we can easily conclude that the two transfers have significant differences. The auction of the tangible data carrier of the Super Mario’s 1986 edition (for $660,000) 1 fits well into the doctrine. The auction of the NFT (non-fungible token) representing Beeple’s “Everdays: the First 5000 Days” (for an equivalent of an astounding $69.3 million) 2 seems to be hype with a snowball effect rather than a modern encapsulation of digital exhaustion. Some commentators, 3 including the present author in collaboration with Alexandra Giannapoulou, João Pedro Quintais, and Balázs Bodó, 4 have thoroughly introduced the incompatibility of the NFT mania with the existing copyright status quo, and so – in connection with the present book’s topic – the sale of tokenized information, which is capable of representing information related to digital artworks, is practically excluded from the scope of the exhaustion of the right of distribution. At the same time, NFTs de facto offer a “code-based digital ecosystem that has practical consequences for the copyright-relevant fields of creativeness.” 5 The sale and resale of NFTs is possible; an exchange of information and title to “own” and “trade” information related to copyrightable subject matter is technologically guaranteed. In line with that, a quasi-exhaustion regime has also emerged. As such, the NFT mania can practically evidence the need for and modern technology’s capability of offering digital marketplaces for artworks as well.
BACKGROUND: Software to help control diabetes is currently an embryonic market with the main activity to date focused mainly on the development of noncomputerized solutions, such as cardboard calculators or computerized solutions that use "flat" computer models, which are applied to each person without taking into account their individual lifestyles. The development of true, mobile device-driven health applications has been hindered by the lack of tools available in the past and the sheer lack of mobile devices on the market. This has now changed, however, with the availability of pocket personal computer handsets. METHOD: This article describes a solution in the form of an intelligent neural network running on mobile devices, allowing people with diabetes access to it regardless of their location. Utilizing an easy to learn and use multipanel user interface, people with diabetes can run the software in real time via an easy to use graphical user interface. The neural network consists of four neurons. The first is glucose. If the user's current glucose level is within the target range, the glucose weight is then multiplied by zero. If the glucose level is high, then there will be a positive value multiplied to the weight, resulting in a positive amount of insulin to be injected. If the user's glucose level is low, then the weights will be multiplied by a negative value, resulting in a decrease in the overall insulin dose. RESULTS: A minifeasibility trial was carried out at a local hospital under a consultant endocrinologist in Belfast. The short study ran for 2 weeks with six patients. The main objectives were to investigate the user interface, test the remote sending of data over a 3G network to a centralized server at the university, and record patient data for further proofing of the neural network. We also received useful feedback regarding the user interface and the feasibility of handing real-world patients a new mobile phone. Results of this short trial confirmed to a large degree that our approach (which also can be known as intensive insulinotherapy) has value and perhaps that our neural network approach has implications for future intelligent insulin pumps. CONCLUSIONS: Currently, there is no software available to tell people with diabetes how much insulin to inject in accordance with their lifestyle and individual inputs, which leads to adjustments in software predictions on the amount of insulin to inject. We have taken initial steps to supplement the knowledge and skills of health care professionals in controlling insulin levels on a daily basis using a mobile device for people who are less able to manage their disease, especially children and young adults.
Martin Thomas Ivers, George F. Timson, Hans von Blankensee, Gary Whitfield · 6 authors
The United States Veterans Administration provides a medical care delivery system comprising more than 170 hospitals, clinics and domicilliaries. Historically, these institutions have been relatively autonomous in their day-to-day operations and consequently efforts at computerization have been difficult to adequately coordinate. A recent undertaking of the VA has been to establish decentralized coordination of planning and implementation for hospital computer systems. This presents a unique opportunity to promote standard, portable and well-designed solutions to meet the widely variable needs of a large and diverse health care delivery organization. Although computer systems for each hospital will vary with the needs of the hospital, functional program packages can be delivered and maintained in a cost-effective and manpower-efficient manner. Additionally, because all systems will be based on a common data dictionary it will be possible to gracefully expand systems as needed and to study clinical care and delivery methodologies across many institutions.