The goal of the state estimation (SE) algorithm is to estimate complex bus voltages as state variables based on the available set of measurements in the power system. Because phasor measurement units (PMUs) are increasingly being used in transmission power systems, there is a need for a fast SE solver that can take advantage of high sampling rates of PMUs. This paper proposes training a graph neural network (GNN) to learn the estimates given the PMU voltage and current measurements as inputs, with the intent of obtaining fast and accurate predictions during the evaluation phase. GNN is trained using synthetic datasets, created by randomly sampling sets of measurements in the power system and labelling them with a solution obtained using a linear SE with PMUs solver. The presented results display the accuracy of GNN predictions in various test scenarios and tackle the sensitivity of the predictions to the missing input data.

Introduction: In this study we aimed to perform the first research on the current state of compulsory basic and clinical courses in genetics for medical students offered at medical faculties in six Balkan countries with Slavic languages (Bosnia and Herzegovina, Croatia, Montenegro, North Macedonia, Serbia, and Slovenia). Materials and Methods: The study was conducted from June to September 2021. One representative from each country was invited to collect and interpret the data for all medical faculties in their respective country. All representatives filled a questionnaire, which consisted of two sets of questions. The first set of questions was factual and contained specific questions about medical faculties and design of compulsory courses, whereas the second set of questions was more subjective and inquired the opinion of the representatives about mandatory education in clinical medical genetics in their countries and internationally. In addition, full course syllabi were analysed for course aims, learning outcomes, course content, methods for student evaluation and literature. Results: Detailed analysis was performed for a total of 22 medical faculties in Bosnia and Herzegovina (6), Croatia (4), Montenegro (1), North Macedonia (3), Serbia (6), and Slovenia (2). All but the two medical faculties in Slovenia offer either compulsory courses in basic education in human genetics (16 faculties/courses) or clinical education in medical genetics (3 faculties/courses). On the other hand, only the medical faculty in Montenegro offers both types of education, including one course in basic education in human genetics and one in clinical education in medical genetics. Most of the basic courses in human genetics have similar aims, learning outcomes and content. Conversely, clinical courses in medical genetics are similar concerning study year position, number of contact hours, ECTS (European Credit Transfer and Accumulation System) and contents, but vary considerably regarding aims, learning outcomes, ratio of types of classes, teaching methods and student evaluation. Conclusion: Our results emphasise the need for future collaboration in reaching a consensus on medical genetics education in Balkan countries with Slavic languages. Further research warrants the analysis of performance of basic courses, as well as introducing clinical courses in medical genetics to higher years of study across Balkan countries.

The subject of this paper is design, testing and implementation of voltage control of buck power electronics converter using programmable logic controller (PLC) which is based on Beckhoff technology. The proposed control structure is first modelled in the Matlab/Simulink software environment. The built Simulink model is then integrated and transferred to the TwinCAT 3 software which converts personal computer (PC)/laptop into the real-time PLC. This paper proposes an experimental platform consisting of the following components: laptop computer used as the PLC, Beckhoff input/output (I/O) interface, power electronics converter with gate driver module, and electronic modules for measuring and adjusting the signals between the converter and the Beckhoff PLC. In this paper, the control is implemented on the example of the buck converter. However, the proposed modular experimental platform can be used for any type of the converter. Thanks to the integration of the Matlab/Simulink and TwinCAT 3 software environments and the modularity of the platform, the proposed experimental platform is suitable for rapid prototyping of different control structures of power electronics converters, which is especially useful for educational and research purposes. The given experimental results validate excellent performances of the proposed platform.

ABSTRACT Background Deployment of modern assistive technologies is one of the major trends. The main objective is the provisioning of the effectiveness and cost-estimation model for deploying assistive technology solutions in elderly care intended for evaluation and showing specificity to the costs and associated benefits of providing smart technological solutions for seniors. Methods The model uses demographic projections taken from Eurostat for EU countries and the disability incidence from the annual report of the Ministry of Labour and Social Affairs of the Czech Republic as an input. The model was implemented in the software Stella Professional dedicated to system dynamics modelling. Results In relation to the combination of five assistive devices for the elderly the optimal solution the cost savings are 37.8% or182 billion CZK, cumulatively in the simulated time period 2021–2060. The model allows adjustments regarding price levels of various countries through the caregivers’ wage. Obtained results showed robustness of the model to this uncertainty as percentage savings varied only from 37.6% to 39.8%, a mere 2.2% difference. Conclusion With respect to the ongoing demographic transition, the need to employ smart device solutions should further increase and their price could decline. The highest savings will come from countries with higher wages for carers.

As the first robotics journal offered by ACM, the Transactions on Human-Robot Interaction (ACM THRI) made considerable progress to advance the field of HRI since its inaugural offering in 2018. ACM THRI remains the flagship journal for leading research in the burgeoning area of Human-Robot Interaction (HRI). The interdisciplinary field of HRI aims to understand and advance our knowledge of human-robot systems towards advancing usable and useful robotic technology. ACM THRI features leading thought into how people interact with robots and robotic technologies, how to improve these interactions and make new kinds of interaction possible, and the effects of such interactions on organizations or society. HRI brings together researchers and practitioners with diverse expertise, including but not limited to robotics, artificial intelligence, human factors, psychology, design, haptics, and mechatronics. We officially began our term in January 2017 as Editors-in-Chief of the Journal of Human-Robot Interaction, the predecessor to ACM THRI. We were fortunate to build on the foundation of JHRI provided by its founding editors, Profs. Sara Kiesler and Michael Goodrich. Our leadership of ACM THRI would not be possible without the tremendous effort and dedication of our core editorial team, including our amazing Managing Editor (Prof. James Young), Journal Administrator (Gita Delsing) and Information Director (Dr. Daniel Rea) as well as their predecessors (Prof. David FeilSeifer, Ms. Jeanie Lyubelsky, and Prof. Monica Anderson). Although it has presented unique challenges and new opportunities, we remain grateful for the opportunity to lead the transition of JHRI to ACM ownership and further extend ACM THRI. Our focus as Editors-in-Chief has been to establish commitment to excellence, sustainability, and inclusion in the scholarship and review processes of ACM THRI, which has proved successful to this point. As stated in our introductory editorial, our primary aims for the Journal have been three fold: (1) increase the sustainability and impact of HRI as a field (both quantitatively and qualitatively), (2) enable timely and productive review feedback, and (3) cultivate new and leading ideas in both robotics and the human-centered sciences. ACM THRI has remained true to this scope and made significant strides towards realizing these values across the practices of the journal. For our review processes, our goal has been to provide useful feedback to our authors that enables them to improve their work and make contributions worthy of intellectual leadership. We aim to return substantive review feedback to authors within 105 days of the date of submission, and 70 days for revisions. The total average for ACM THRI returning decisions for submitted manuscripts is currently 142 days in 2021, 122 days from April 2020 to December 2020, 114.7 days in the first three months of 2020 (submissions just prior to the COVID-19 pandemic), and 99 days in 2019. Our review process includes significant deliberation and discussion among our editorial board of every manuscript and decision, which occurs during our weekly editorial teleconferences. A summary of our editorial consensus with a reasoned and supported argument is provided with

In this paper we demonstrate a framework to support research on Cooperative Awareness Messages (CAMs) through a monitoring dashboard, deploying a portable environment named CAM Application Framework (CAMAF); it manages the received CAMs and updates a corresponding specific monitor for each active Cooperative Intelligent Transportation System (C-ITS) entity. Each monitor is configurable by choosing CAM fields and making or changing algorithms to display the desired information. We have tested our proposal in a C-ITS testbed with real live traffic in the SmartHighway localted in Antwerp, Belgium.

As manual Management and Orchestration (MANO) of services and resources might delay the execution of MANO operations and negatively impact the performance of 5G and beyond Vehicle-to-Everything (V2X) services, applying AI in MANO to enable automation and intelligence is an imperative. The Network Function Virtualization (NFV), Software Defined Networking (SDN), and Artificial Intelligence (AI), could all together mitigate those challenges, and enable true automation in MANO operations. Thus, in this demo paper we will showcase the use of real-life testbed environments (Smart Highway and Virtual Wall, Belgium) and the Proof-of-Concept that we build to conduct realistic experimentation and validation of intelligent and distributed MANO in a dynamic network such as a V2X system.

The plethora of heterogeneous and diversified services in 5G and beyond requires from networks to be flexible, adaptable, and programmable, i.e., to be able to correspondingly adapt to changes. As human intervention might significantly increase delays in MANagement and Orchestration (MANO) operations, automation and intelligence become imperative for orchestrating services and resources, especially the ones with stringent requirements for latency and capacity, such as Vehicle-to-Everything (V2X) services. As virtualization and Artificial Intelligence (AI) promise to mitigate those challenges towards enabling true automation in MANO operations, in this paper we present our effort towards building and fully utilizing the real-life testbeds, such as Smart Highway and Virtual Wall, located in Belgium, to conduct realistic experimentation and validation of distributed orchestration intelligence in a dynamic network such as V2X system.

Next-generation mobile networks are expected to flaunt highly (if not fully) automated management. To achieve such a vision, Artificial Intelligence (AI) and Machine Learning (ML) techniques will be key enablers to craft the required intelligence for networking, i.e., Network Intelligence (NI), empowering myriad of orchestrators and controllers across network domains. In this paper, we elaborate on the DAEMON architectural model, which proposes introducing a NI Orchestration layer for the effective end-to-end coordination of NI instances deployed across the whole mobile network infrastructure. Specifically, we first outline requirements and specifications for NI design that stem from data management, control timescales, and network technology characteristics. Then, we build on such analysis to derive initial principles for the design of the NI Orchestration layer, focusing on (i) proposals for the interaction loop between NI instances and the NI Orchestrator, and (ii) a unified representation of NI algorithms based on an extended MAPE-K model. Our work contributes to the definition of the interfaces and operation of a NI Orchestration layer that foster a native integration of NI in mobile network architectures.

Sensory integration represents the organization of the senses for their use. It is a neuro-biological activity that allows the reception and processing of sensory information, which in arrive from the senses in huge quantities into the brain, at any time. The ability of the brain to successfully process tactile information allows the child to feel safe and develop a connection with those around it. An autistic child is not able to register many stimuli from their environment, so insufficient or poor sensory processing can contribute to the image of autism. Children with autism spectrum difficulties have specific difficulties in touch perception. The aim of the study was to examine the prevalence of sensory integration difficulties of the tactile sensory system of children with autism spectrum disorders, and to establish the statistical significance of differences in relation to children without developmental difficulties. The total sample of subjects (N=30) consisted of two subsamples. The first subsample of subjects (N=15) consisted of children with difficulties from the autism spectrum, and the second subsample of subjects (N=15) consisted of children without developmental difficulties. The measurement instrument was the „Questionnaire for testing tactile sensory sensitivity“ with 11 variables and the offered answers of possible sensory response was applied. The Mann-Whitney U test and the Wilcoxon W test at the level of statistical significance of p<0.05 were used to examine the statistical significance of the differences between the subsamples of the subjects. The results of the study showed that 86.67 % of children with autism have difficulties in sensory integration of the tactile sensory system. The hypersensitive type of sensory response has 26.67 %, and the hyposensitive sensory response 20 % of children with autism. 40.00 % of children with autism have a mixed type of tactile sensory. There is a statistically significant difference between children with autism and children without developmental difficulties on 4 variables.

Sjögren's syndrome (SS) is a systemic autoimmune disease that frequently occurs concomitantly with other systemic connective tissue disorders, including rare and complex diseases such as systemic lupus erythematosus (SLE) and systemic sclerosis (SSc). The presence of SS influences the clinical expression of the other autoimmune diseases, thus offering the unique opportunity to explore the similarities in genetic signatures, as well as common environmental and biologic factors modulating the expression of disease phenotypes. In this review, we will specifically discuss the possibility of defining "SS/SLE" and "SS/SSc" as distinct subsets within the context of connective tissue diseases with different clinical expression and outcomes, thus deserving an individualised assessment and personalised medical interventions.

In the early Middle Ages Hreša was part of the parish of Vrhbosna, which was in the 14 i 15 century a part of the land Pavlovic. With the first arrival of the Ottoman army, the area of the parish Vrhbosna turned into Bosnian place, later named after the main fortress Vilajet Hodidjed, and then afer a market place Vilajet Saray-ovasi. In 1455 the village Hreša (Hriša) was represented by a timar Isa Bey hizmećara Sufi Jahšija. Already in 1485 he has been separated from timars crew Hodidjed and added to sandžakbegov has.In the central part of Hreša, on the site of Han, stands a medieval necropolis with 22 tombstones, which has already been paid to attention in the literature. This paper emphasis is placed on the decorations represented on the tombstones.

Stećci form a part of an unbroken sepulchral continuity in Bosnia that reaches far back into prehistoric times, and are clearly associated with the older sites of prehistoric settlements and places of worship, agglomerations and burial grounds dating from antiquity, late antique and early medieval churches and fortified towns. They are impressive evidence of the growing eeconomic power of the Bosnian feudal society in the 14th century, the opening of mines, increased urbanization, and the desire of individuals to present their status and power through the outward appearance of a tombstone. Their origins and evolution may be traced back from the mid 12th to the early 16th century. Stećci at Kose are made of local stone and all arerecumbent monoliths. There are 26 stećci on the site and can be divided into three types: slabs (2 monuments), chest-shaped (19 monuments) and gabled or sarcophagus-like (5 monuments). They are oriented southwest-northeast. A feature of the necropolis is that the monuments are relatively large. Of the total number, only on the upper surface of the stećak no.14, an ornament in the shape of a rectangular relief bulge is recorded. There are no other types of decorations or inscriptions on the monuments.