Over the last decade, the idea that robots could become an integral part of groups and teams has developed from a promising vision into a reality. Robots are increasingly designed to interact with groups and teams of people, yet most human-robot interaction research still focuses on a single humans interacting with a single robot. The goal for the workshop is therefore to advance research in computer supported cooperative work (CSCW) and human robot interaction (HRI) by raising awareness for the social and technical challenges that surround the placement of robots within work-groups and teams. The workshop will be organized around three central questions: (1) How do robots shape the dynamics of groups and teams in existing settings? (2) How does a robot's behavior shape how humans interact with each other in dyads and in larger groups and teams? (3) How can robots improve the performance of work groups and teams by acting on social processes? These core issues will be covered across a set of presentations that initiate in- depth discussions around each question to improve the quality of and support the growth of research in the CSCW community that focuses on the intersection of robots, groups, and teams.

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common and best known monogenic small vessel disease. Here, we review the clinical, neuroimaging, neuropathological, genetic, and therapeutic aspects based on the most relevant articles published between 1994 and 2016 and on the personal experience of the authors, all directly involved in CADASIL research and care. We conclude with some suggestions that may help in the clinical practice and management of these patients.

Kako ce digitalizirana građa biti dostupna sto vecem broju ljudi? Koju tehnologiju upotrebljavamo za to? Da li je dostupna svima? Sta je LoCloud i kako funkcionira? U radu ce se objasniti primjena tehnologije kojom se kreiraju digitalne biblioteke, muzeji i arhivi. Za primjer LoCloud kolekcija uzet ce se digitalne kolekcije nastale u Nacionalnoj i univerzitetskoj biblioteci BiH putem LoCloud i CSEEE projekata. ------------------------------------------------------------------------------------------------ CLOUD COMPUTING TECHNOLOGIES: REALIZATION OF LoCloud AND CSEEE PROJECTS IN THE NATIONAL AND UNIVERSITY LIBRARY OF B&H How will be digitized material accessible to as many people as possible? What technology is used for this? Is it available to everyone? What is LoCloud and how does it work? This paper will explain use of technology to create digital libraries, museums and archives. For LoCloud collection example we will use digital collections created in the National and University Library of Bosnia and Herzegovina through LoCloud and CSEE projects.

The aim of this two‒year research was to determine the rate of productive tillers per plant of different winter wheat cultivars under different sowing densities in the agroecological conditions of Banja Luka. NS 40S, Prima and Nova Bosanka wheat cultivars were sown at eight different sowing densities: 384, 424, 451, 504, 544, 584, 588 and 604 seeds m-2. The experiment was set up in the open field, and each wheat cultivar was sown at different sowing density in four replications. Statistical analysis was performed using factorial analysis of variance 2×8×3 while significant differences between treatments were tested by LSD test. The highest average rate of productive tillers per plant was achieved for the winter wheat cultivar NS 40S (2.29). The highest average rate of productive tillers per plant was achieved at sowing density of 384 seeds m-2 and the lowest at sowing density of 588 seeds m-2.

Wheat overwintering ability affects the final number of plants that are able to continue their growth and development when necessary conditions are established. This research was conducted to study the overwintering ability of winter wheat cultivars (NS 40S, Prima and Nova Bosanka) under different sowing densities during 2013/14 and 2014/15 in agroecological conditions of Banja Luka. Standard agronomic practices for winter wheat were performed. Wheat cultivars were sown manually, under sowing densities with different seed arrangements: 384, 424, 451, 504, 544, 584, 588, and 604 seeds m-2. Counting of wheat plants in both examined years was carried out in the second decade of February. Statistical analysis was performed using factorial analysis of variance 2×8×3, while significant differences between treatments were tested by LSD test. The average overwintering plants percentage for all three examined wheat cultivars was 50.06%. Sowing density of 588 seeds m-2 stands out as the density with a tendency of the highest percentage of overwintering plants in both years.

Humans excel at recognizing (or inferring) another's distal intentions, and recent experiments suggest that this may be possible using only subtle kinematic cues elicited during early phases of movement. Still, the cognitive and computational mechanisms underlying the recognition of intentional (sequential) actions are incompletely known and it is unclear whether kinematic cues alone are sufficient for this task, or if it instead requires additional mechanisms (e.g., prior information) that may be more difficult to fully characterize in empirical studies. Here we present a computationally-guided analysis of the execution and recognition of intentional actions that is rooted in theories of motor control and the coarticulation of sequential actions. In our simulations, when a performer agent coarticulates two successive actions in an action sequence (e.g., “reach-to-grasp” a bottle and “grasp-to-pour”), he automatically produces kinematic cues that an observer agent can reliably use to recognize the performer's intention early on, during the execution of the first part of the sequence. This analysis lends computational-level support for the idea that kinematic cues may be sufficiently informative for early intention recognition. Furthermore, it suggests that the social benefits of coarticulation may be a byproduct of a fundamental imperative to optimize sequential actions. Finally, we discuss possible ways a performer agent may combine automatic (coarticulation) and strategic (signaling) ways to facilitate, or hinder, an observer's action recognition processes.

To evaluate the quality of sleep, it is important to determine how much time was spent in each sleep stage during the night. The gold standard in this domain is an overnight polysomnography (PSG). But the recording of the necessary electrophysiological signals is extensive and complex and the environment of the sleep laboratory, which is unfamiliar to the patient, might lead to distorted results. In this paper, a sleep stage detection algorithm is proposed that uses only the heart rate signal, derived from electrocardiogram (ECG), as a discriminator. This would make it possible for sleep analysis to be performed at home, saving a lot of effort and money. From the heart rate, using the fast Fourier transformation (FFT), three parameters were calculated in order to distinguish between the different sleep stages. ECG data along with a hypnogram scored by professionals was used from Physionet database, making it easy to compare the results. With an agreement rate of 41.3%, this approach is a good foundation for future research.

Rast korjenovog sistema deset vegetativnih podloga jabuke (5 klonova podloge M9: T337; Burgmer 984; Fleuron 56; Pajam®1 Lancep i Pajam®2 Cepiland; Jork 9, Mark (MAC 9), M26, Supporter 4 i MM106) analiziran je u toku 2013. godine u dva modifikovana zemljisna supstrata u kontrolisanom kontejnerskom gajenju. Analiziran je broj, ukupna i prosjecna dužina korjenova I poretka kao i ukupan i prosjecan broj korjenova II poretka grananja. Rezultati analiza pokazuju da je kod svih ispitivanih podloga ukupna dužina korjena veca u supstratu 2 (kombinacija bastenske zemlje, treseta i pijeska) u odnosu na supstrat 1 (oranicni sloj pseudoglejnog zemljista), osim kod podloga Jork i M9 B984. Broj korjenova II poretka grananja kod svih podloga bio je veci u supstratu 2, osim podloga Jork i Pajam 2. Dobijeni rezultati analize rasta korjena vegetativnih podloga jabuke su prva istraživanja rasta ovih podloga u BiH.