Creative media + the internet of things = media multiplicities

© 2018 ISAST. This paper proposes the term “media multiplicities” to describe contemporary media artworks that create multiples of “internet of things” devices. It discusses the properties that distinguish media multiplicities from other forms of media artwork, provides parameters for categorizing media multiplicities, and discusses aesthetic and creative factors in the production of media multiplicities

Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection.

Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data. However, it depends on data replication to handle censoring which leads to unbalanced and biased prediction results especially in highly censored data. Other methods cannot deal with high censoring. Therefore, in this article, a new hybrid feature selection method is proposed which presents a solution to high level censoring. It combines support vector machine, neural network, and K-nearest neighbor classifiers using simple majority voting and a new weighted majority voting method based on survival metric to construct a multiple classifier system. The new hybrid feature selection process uses multiple classifier system as a wrapper method and merges it with iterated feature ranking filter method to further reduce features. Two endovascular aortic repair datasets containing 91% censored patients collected from two centers were used to construct a multicenter study to evaluate the performance of the proposed approach. The results showed the proposed technique outperformed individual classifiers and variable selection methods based on Cox's model such as Akaike and Bayesian information criterions and least absolute shrinkage and selector operator in p values of the log-rank test, sensitivity, and concordance index. This indicates that the proposed classifier is more powerful in correctly predicting the risk of re-intervention enabling doctor in selecting patients' future follow-up plan

Distributed Interactive Audio Devices: Creative strategies and audience responses to novel musical interaction scenarios

With the rise of ubiquitous computing, comes new possibilities for experiencing audio, visual and tactile media in distributed and situated forms, disrupting modes of media experience that have been relatively stable for decades. We present the Distributed Interactive Audio Devices (DIADs) project, a set of experimental interventions to explore future ubiquitous computing design spaces in which electronic sound is presented as distributed, interactive and portable. The DIAD system is intended for creative sound and music performance and interaction, yet it does not conform to traditional concepts of musical performance, suggesting instead a fusion of music performance and other forms of collaborative digital interaction. We describe the thinking behind the project, the state of the DIAD system’s technical development, and our experiences working with userinteraction in lab-based and public performance scenarios

Surgery for Esophageal Adenocarcinoma: Three field open McKeown procedure has a role in assessment and treatment of extensive locally advanced esophageal adenocarcinoma with a favorable clinical and pathological outcome.

Esophageal adenocarcinoma has seen an increased incidence due to gastroesophageal reflux disease , smoking and obesity. There are no established guidelines for screening of esophageal cancer and many patients present late in their disease process. Most early stage adenocarcinoma of the esophagus is treated with neoadjuvant chemotherapy and radiation follow by surgical resection in suitable operative candidates. We describe a case of locally advanced esophageal cancer, where the patient had a relatively insignificant response to neoadjuvant chemotherapy and radiation, who was then treated by open direct resection of the esophagus and proximal stomach (three field McKeown approach) with lymphadenectomy. The patient did well after surgery apart from pneumonia and increased secretions that required tracheostomy. There were no surgical complications such as anstomotic leak or chylothorax. Pathology showed T2N0 disease. Locally advanced esophageal cancer in the mediastinum occasionally requires an open direct approach for direct assessment of resectability and full mobilization of the esophagus and subsequent complete cancer free surgical outcome. We felt that this was a necessary procedure under these circumstances due to the large mass effect of the tumor, and a preoperative staging of T2N3. The mainstay of esophageal resection continues to be minimally invasive procedures for early stage esophageal malignancy where assessment of resectability and direct mobilization from the mediastinum are typically not an issue

Sound design for a system of 1000 distributed independent audio-visual devices

This paper describes the sound design for Bloom, a light and sound installation made up of 1000 distributed independent audio-visual pixel devices, each with RGB LEDs, Wifi, Accelerometer, GPS sensor, and sound hardware. These types of systems have been explored previously, but only a few systems have exceeded 30-50 devices and very few have included sound capability, and therefore the sound design possibilities for large systems of distributed audio devices are not well understood. In this article we describe the hardware and software implementation of sound synthesis for this system, and the implications for design of media for this context

Facilitating Creative Exploratory Search with Multiple Networked Audio Devices Using HappyBrackets

We present an audio-focused creative coding toolkit for deploying music programs to remote networked devices. It is designed to support efficient creative exploratory search in the context of the Internet of Things (IoT), where one or more devices must be configured, programmed and interact over a network, with applications in digital musical instruments, networked music performance and other digital experiences. Users can easily monitor and hack what multiple devices are doing on the fly, enhancing their ability to perform “exploratory search” in a creative workflow. We present two creative case studies using the system: the creation of a dance performance and the creation of a distributed musical installation. Analysing different activities within the production process, with a particular focus on the trade-off between more creative exploratory tasks and more standard configuring and problem-solving tasks, we show how the system supports creative exploratory search for multiple networked devices

Sound Design for a System of 1000 Distributed Independent Audio-Visual Devices

This paper describes the sound design for Bloom, a light and sound installation made up of 1000 distributed independent audio-visual pixel devices, each with RGB LEDs, Wifi, Accelerometer, GPS sensor, and sound hardware. These types of systems have been explored previously, but only a few systems have exceeded 30-50 devices and very few have included sound capability, and therefore the sound design possibilities for large systems of distributed audio devices are not yet well understood. In this article we describe the hardware and software implementation of sound synthesis for this system, and the implications for design of media for this context

Surgery for Esophageal Adenocarcinoma: Three field open McKeown procedure has a role in assessment and treatment of extensive locally advanced esophageal adenocarcinoma with a favorable clinical and pathological outcome

Esophageal adenocarcinoma has seen an increased incidence due to gastroesophageal reflux disease , smoking and obesity. There are no established guidelines for screening of esophageal cancer and many patients present late in their disease process. Most early stage adenocarcinoma of the esophagus is treated with neoadjuvant chemotherapy and radiation follow by surgical resection in suitable operative candidates. We describe a case of locally advanced esophageal cancer, where the patient had a relatively insignificant response to neoadjuvant chemotherapy and radiation, who was then treated by open direct resection of the esophagus and proximal stomach (three field McKeown approach) with lymphadenectomy. The patient did well after surgery apart from pneumonia and increased secretions that required tracheostomy. There were no surgical complications such as anstomotic leak or chylothorax. Pathology showed T2N0 disease. Locally advanced esophageal cancer in the mediastinum occasionally requires an open direct approach for direct assessment of resectability and full mobilization of the esophagus and subsequent complete cancer free surgical outcome. We felt that this was a necessary procedure under these circumstances due to the large mass effect of the tumor, and a preoperative staging of T2N3. The mainstay of esophageal resection continues to be minimally invasive procedures for early stage esophageal malignancy where assessment of resectability and direct mobilization from the mediastinum are typically not an issue

Rapid Composition for a Multi-Device Networked Music Platform

In this paper we discuss the results of a workshop study for the HappyBrackets system – a development framework for creatively coding multi-device musical performances, sound installations and interactive media artworks – in which new users using the system are invited to create new multi- device music compositions in a rapid creative and collaborative hacking session. We consider the types of works made, the problems encountered and the methods used, including how some of the new features we have added to the system support exploratory creative search. We develop our observations into design principles that we speculate will better support more rapid creative exploration of multi-device creative musical compositions

Creativity and Autonomy in Swarm Intelligence Systems

This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (a `Particle Swarm Optimiser', PSO) -- and outlines a novel integration strategy exploiting the local search properties of the PSO with global SDS behaviour. The resulting hybrid algorithm is used to sketch novel drawings of an input image, exploliting an artistic tension between the local behaviour of the `birds flocking' - as they seek to follow the input sketch - and the global behaviour of the `ants foraging' - as they seek to encourage the flock to explore novel regions of the canvas. The paper concludes by exploring the putative `creativity' of this hybrid swarm system in the philosophical light of the `rhizome' and Deleuze's well known `Orchid and Wasp' metaphor