This paper presents a novel hierarchical motion planning approach based on Rapidly-Exploring Random Trees (RRT) for global planning and Model Predictive Control (MPC) for local planning. The approach targets a three-wheeled cycle rickshaw (trishaw) used for autonomous urban transportation in shared spaces. Due to the nature of the vehicle, the algorithms had to be adapted in order to adhere to non-holonomic kinematic constraints using the Kinematic Single-Track Model. The vehicle is designed to offer transportation for people and goods in shared environments such as roads, sidewalks, bicycle lanes but also open spaces that are often occupied by other traffic participants. Therefore, the algorithm presented in this paper needs to anticipate and avoid dynamic obstacles, such as pedestrians or bicycles, but also be fast enough in order to work in real-time so that it can adapt to changes in the environment. Our approach uses an RRT variant for global planning that has been modified for single-track kinematics and improved by exploiting dead-end nodes. This allows us to compute global paths in unstructured environments very fast. In a second step, our MPC-based local planner makes use of the global path to compute the vehicle's trajectory while incorporating dynamic obstacles such as pedestrians and other road users. Our approach has shown to work both in simulation as well as first real-life tests and can be easily extended for more sophisticated behaviors.

The interference of matter waves is one of the intriguing features of quantum mechanics that has impressed researchers and laymen since it was first suggested almost a century ago. Nowadays, attosecond science tools allow us to utilize it in order to extract valuable information from electron wave packets. Intense laser fields are routinely employed to create electron wave packets and control their motion with attosecond and ångström precision. In this perspective article, which is based on our debate at the Quantum Battles in Attoscience virtual workshop 2020, we discuss some of the peculiarities of intense light-matter interaction. We review some of the most important techniques used in attosecond imaging, namely photoelectron holography and laser-induced electron diffraction. We attempt to ask and answer a few questions that do not get asked very often. For example, if we are interested in position space information, why are measurements carried out in momentum space? How to accurately retrieve photoelectron spectra from the numerical solution of the time-dependent Schrödinger equation? And, what causes the different coherence properties of high-harmonic generation and above-threshold ionization?

Rahmanzadeh et al. quantify—for the first time in vivo—the relative damage to myelin and axons across the multiple sclerosis spectrum, in different types of lesions and in normal-appearing tissue. The data confirm neuropathological findings and extend them by revealing the complexity of the disease in living patients.

On global level there is a large supply-demand imbalance for the worker with the right set of skills. Similarly, it is observed in Bosnia as well. Even though the unemployment rate is high in the country, the industry is struggling to get talents they need from the local market. On the other hand, the job seekers are rather preferring to look for job opportunities in EU countries since the packages of benefits are more attractive there. Bosnian industry is mainly based on labor intensive business and it is focused on lower cost as competitive advantage. Using this competitive advantage, the industry generates insufficient added value to offer competitive package of benefit to demanded talents from the global labor market. They have to switch to a new competitive advantage on differentiated unique solutions to target groups that will provide them with increased added value.

Parental involvement (PI) in education contributes to numerous positive outcomes in children, including educational outcomes and social competence. The goal of the present study was to examine differences in PI mechanisms between parents of children with autism spectrum disorder (ASD) and parents of typically developing (TD) children. An additional goal was to examine factors affecting PI mechanisms in education in parents of children with ASD. The sample for this study consisted of 50 parents of children with ASD and 50 parents of TD children. The results of this study indicate that parents of children with ASD had lower levels of PI mechanisms in education than parents of TD children. The strongest predictors of PI mechanisms in education in parents of children with ASD were subjective well-being and child’s emotional reactivity. Implications for future research and practice are discussed.

Introduction: Mixed adenoneuroendocrine carcinoma (MANEC) is a tumor of the gastrointestinal tract that contains both exocrine and endocrine components, with each component representing a minimum of 30% of the total tumor mass.

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From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.

'Food', when mentioned in Human-Robot Interaction (HRI) research, is most often in the context of functional applications of automation, delivery, and assistance. Food has, however, not been explored as a medium for social expression or building relationships with social robots. Using web-based examples of robot food and our pilot collection of LOVOT and AIBO robot user's Tweets about their practices of feeding their robots, we show how food has the potential to sustain interactions, increase enjoyment, sociability and companionship in HRI, enhance life-likeness, autonomy, and agency for robots, and open up opportunities for community building among robot users. We present design implications of food for HRI, and urge HRI researchers to envision food as a facet of Human-Robot relationships and <--Human-Food-Robot--> interaction as a celebratory, provocative, and promising domain for HRI and social robot design.

ACM Reference Format: Vicky Charisi, Selma Šabanović, Angelo Cangelosi, and Randy Gomez. 2021. Designing and Developing Better Robots for Children: A Fundamental Human Rights Perspective. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’21 Companion), March 8–11, 2021, Boulder, CO, USA. ACM, New York, NY, USA, 3 pages. https://doi.org/ 10.1145/3434074.3444875

Novel forms of two-player telegame interaction might extend and enhance social connection between physically separated persons. We examine the potential of a Rock-Paper-Scissors game conveyed via an embodied telepresence agent. We compare a game interaction with an autonomous robot and a game interaction with a teleoperated version of the same robot. Both systems are equipped with a perception module that processes and recognizes the hand movement of the human players colocated with the robot. In the classic interaction, the robot acts as the opponent player. In the telegame setting, the robot represents and mirrors the actions of the remote human player as the opponent. We integrate the systems on the tabletop robot platform Haru and evaluate user impressions with respect to game experience and robot sociality. Results show that the telegame is perceived more positively, indicating its potential for physically distant, but socially enhanced interaction in the future.

Over the years, the Web has become a premier source of information in almost every area we can think about. When considering tourism, the Web became the primary source of information for travelers. When planning trips, people search for information about destinations, accommodations, attractions, means of transportation, in short, everything related to their future trip. Once done searching they reserve almost everything online. The blessing of the easily accessible information comes with the curse of information overload. This brings Web search techniques and recommendation systems come into play. This is especially true recently with the appearance of COVID-19 and the uncertainty and transformative power it brings to travelling. WebTour 2021 brings together researchers and practitioners working on developing and improving tools and techniques for improving users ability to better find relevant information that matches their needs.

We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. Exploiting redundancy in sensors and actuators and using a bank of unknown input observers (UIOs), we propose an observer-based estimator capable of providing asymptotic estimates of the system state and attack signals under the condition that the numbers of sensors and actuators under attack are sufficiently small. Using the proposed estimator, we provide methods for isolating the compromised actuators and sensors. Numerical examples are provided to demonstrate the effectiveness of our methods.