Abstract
The 2nd workshop on User Interfaces for Spatial-Temporal Data Analysis (UISTDA2019)(1) took place in conjunction with the 24th Annual Meeting of the Intelligent Interfaces community (ACM IUI2019) in Los Angeles, USA on March 20, 2019. The goal of this workshop is to share latest progress and developments, current challenges and potential applications for exploring and exploiting large amounts of spatial and temporal data. Four papers and a keynote talk were presented in this edition of the workshop.

Abstract
In this chapter, other areas of application for optical clearing agents (OCAs) are presented. The osmotic properties of agents are highly important in dermatology, cosmetics, and pharmacology, if topical application to the skin is desired. After addressing this application in Sect. 8.2, tissue poisoning and discussing the osmotic properties of certain poisons or toxic compounds will be done in Sect. 8.3. The importance of evaluating the diffusion properties of those substances in the skin, eye, and other inner tissue is indicated as a tool for optimizing treatment or decontamination dosage and procedures. Section 8.4 is used to discuss the application of agents in food industry. The dehydration capabilities of certain agents, such as sodium chloride or glycerol, are presented, and the advantages of treating fruit, meat, or fish with sugars to improve their organoleptic properties during preservation are also presented. Finally, the application of OCAs for tissue or organ preservation is presented in Sect. 8.5, where some cases for preservation of eye tissues at room temperature made with glycerol will be discussed. The use of OCAs as cryoprotectants at low temperatures is also explained. In all these applications, we refer the applicability of the method described in Sect. 6.4 to evaluate the diffusion properties of water, poisons, or drugs for ex vivo tissue samples. © 2019, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
A key challenge in the power and energy field is the development of decision-support systems that enable studying big problems as a whole. The interoperability between multi-agent systems that address specific parts of the global problem is essential. Ontologies ease the interoperability between heterogeneous systems providing semantic meaning to the information exchanged between the various parties. The use of ontologies within Smart Grids has been proposed based on the Common Information Model, which defines a common vocabulary describing the basic components used in electricity transportation and distribution. However, these ontologies are focused on utilities' needs. The development of ontologies that allow the representation of diverse knowledge sources is essential, aiming at supporting the interaction between entities of different natures, facilitating the interoperability between these systems. This paper proposes a set of ontologies to enable the interoperability between different types of agent-based simulators, namely regarding electricity markets, the smart grid, and residential energy management. A case study based on real data shows the advantages of the proposed approach in enabling comprehensive power system simulation studies.

Abstract
Tele-media-art is a web-based asynchronous e-learning platform, enabling blind students to have dance and theatre classes remotely, using low-cost motion tracking technology feasible for home use. Teachers and students submit dance recordings augmented with sound synthesis of their motions. Sound synthesis is generated by processing Kinect motion capture data, enabling blind students to compare the audio feedback of their motions with the audio generated by the teacher's motions. To study the feasibility of this approach, the authors present data on early testing of the prototype, performed with blindfolded users.

Abstract
Looking forward to enhance visitors’ experience among cultural heritage sites, the use of new technologies within these spaces has seen a fast growth among the last decades. Regarding the increasing technological developments, the importance of understanding the acceptance of technology and the intention to use it in cultural heritage sites, also arises. The existing variety of acceptance models found in literature relatively to the use of technology, and the uncertainty about selecting a suitable model, sparked this research. Accordingly, the current study aims to select, evaluate and analyse an acceptance model, targeted to understand the behavioural intention to use augmented reality technology in archaeological sites. The findings of this research revealed UTAUT as a suitable model. However, regarding the collected data, some moderators’ impact presented in the original study may change significantly. In addition, more constructs can be considered for wider understandings.

Abstract
Abstract Background Seizures commonly affect the heart rate and its variability. The increased interest in this area of research is related to the possible connection with sudden unexpected death in epilepsy (SUDEP). Generalized tonic-clonic seizures (GTCS) are reported as the most consistent risk factor for SUDEP. However, the general risk of seizures (and their type) on cardiac function still remains uncertain. Purpose To evaluate the influence of seizure type (GTCS vs non-GTCS) on ictal and early post-ictal Heart Rate Variability (HRV) in patients with refractory epilepsy. Methods From January 2015 to July 2018, we prospectively evaluated 121 patients admitted to our institution's Epilepsy Monitoring Unit with focal resistant epilepsy. All patients underwent a 48-hour Holter recording. We included only patients who had both GTCS and non-GTCS during the recording and selected the first seizure of each type to analyze. HRV (AVNN, SDNN, RMSSD, pNN50, and LF/HF) was evaluated by analyzing 5-min-ECG epochs, starting with the seizure onset (ictal and early post-ictal period). The study was approved by our Institution Ethics Committee and all patients gave informed consent. Results Fourteen patients were included (7 Females, 4 patients with Temporal Lobe Epilepsy). The median age was 39 years (min-max, 18–57). Thirty-six percent presented cardiovascular risk factors without known cardiac disease. A significant statistical reduction was found for AVNN (p=0.013), RMSSD (p=0.008), pNN50 (p=0.005) and HF (p=0.003), during GTCS when compared with non-GTCS (Wilcoxon test, p<0.05; two tailed). Conclusion Our study shows a significant reduced vagal tone during GTCS when compared with non-GTCS. Hence, GTCS had a more pronounced impact on HRV changes than other seizure types, which can be associated with higher SUDEP risk after GTCS.