Machine learning, particularly in the form of deep learning (DL), has driven most of the recent fundamental developments in artificial intelligence (AI). DL is based on computational models that are, to a certain extent, bio‐inspired, as they rely on networks of connected simple computing units operating in parallel. The success of DL is supported by three factors: availability of vast amounts of data, continuous growth in computing power, and algorithmic innovations. The approaching demise of Moore's law, and the consequent expected modest improvements in computing power that can be achieved by scaling, raises the question of whether the progress will be slowed or halted due to hardware limitations. This article reviews the case for a novel beyond‐complementary metal–oxide–semiconductor (CMOS) technology—memristors—as a potential solution for the implementation of power‐efficient in‐memory computing, DL accelerators, and spiking neural networks. Central themes are the reliance on non‐von‐Neumann computing architectures and the need for developing tailored learning and inference algorithms. To argue that lessons from biology can be useful in providing directions for further progress in AI, an example‐based reservoir computing is briefly discussed. At the end, speculation is given on the “big picture” view of future neuromorphic and brain‐inspired computing systems.

Background Universally, negative or misinformed stuttering attitudes abound, which often lead to inaccurate stereotyping and/or stigmatization of people who stutter [1]. Attitudes toward any phenomenon are partly formed by what a person believes to be true, as well as how they feel and react toward that phenomenon [2]. In stuttering, attitudinal research has been particularly critical in global efforts to reduce marginalization of people who stutter. St. Louis [3] developed a standard and translatable stuttering attitude instrument, the Public Opinion Survey on Human Attributes-Stuttering (POSHA-S), which provides an impression about respondents’ overall beliefs about stuttering and Purpose: A growing body of research has addressed children’s stuttering attitudes between preschool and upper elementary school. Attitudes among preschoolers and kindergarteners have been reported to be much lower that fifth graders’ attitudes, at which time children’s attitudes seemingly converge with their parents’ attitudes. It has been suggested these observed changes align with children’s social and cognitive development and are resistant to the influence of other variables, such as their culture. The purposes of this study were (a) to extend cultural examinations of children’s stuttering attitudes in a sample of kindergarteners through sixth graders in Bosnia & Herzegovina (B&H), and (b) to compare their attitudes with their parents’ attitudes.

Derived from mesenchymal stem cells (MSCs) under the influence of various local factors and growth hormones, osteoblasts are one of the leading components of the bone tissue. 1,25-dihydroxyvitamin D3 (calcitriol), an active form of vitamin D, plays an important role in retaining calcium and phosphate homeostasis within the body. Since vitamin D is also known to have effects on cell proliferation, our study aimed to investigate the effects of different concentrations of calcitriol on the proliferation of in vitro cultured osteoblast-like cells from the bone marrow of 90-95 days old young adult rats of both sexes. Calcitriol was applied at six (6) different concentrations (nM): 0.1, 1, 10, 20, 40 i 60. Each concentration was tested four times, counting the cells after 24 and 48 hours. After 24 and 48 hours treatment, the most effective dose of calcitriol for cell proliferation was 0.1 nM for both males and females. The greatest reduction in the frequency of OB-like cells from both sexes after treatment of 24 and 48 hours, was a 60 nM calcitriol concentration. Higher proliferative values of osteoblast-like cells were obtained in males compared to those obtained in females. Thus, the results of the current study reveal that calcitriol treatment induces the proliferation of osteoblast-like cells in a dose-dependent manner and this effect shows difference in cells from different genders.

Purpose: Determining the state of the student and his situational-motor skills, and their comparison, enables the teacher to control his work in an immediate manner, and he programmes and implements well planned and additional contents in order to realize the set goals. In order to achieve these functions, it is necessary to determine the current state of the students, as well as the state after the implemented specific contents and programs. The aim of the research was to determine the partial changes (differences) of situationalmotor abilities that were created under the influence of a four-month program of basketball, volleyball and handball in the pupils of the fifth grades of elementary school. Material: The study included N = 106 class V students, aged 10 to 11 years. The sample of respondents was divided into two subgroups, an experimental group (53 students), who conducted physical and health education classes according to the modified plan and program of sports games (basketball, volleyball and handball) for a half-year and control group (53 students) who attended regular classes from physical and health culture according to the current curriculum. 9 variables were used to assess situational-motor abilities. Descriptive statistics and discriminatory analysis were used to determine the changes (differences) in situational-motor skills. Results: The results of the research at the descriptive level showed certain differences between the groups in the final versus the initial measurements on the individual variables of situational motors. Based on the results of the discriminatory analysis, the relative contribution of each of the variables of the situational motor in the final measurement is seen. The SMKVLS (Running the ball with your hand in the slalom) and SMRBLZ (Throwing the ball against the wall for 30 seconds) variables are the biggest contributors, and the smallest SMOGCPM (Aiming the goal over the net from the basic stand) and SMOSD (Lower frontal serve). Conclusions: Physical and health culture in schools has the primary task of influencing positive transformation processes in all dimensions of students by applying appropriate content.

Purpose The purpose of this paper is to provide an insight as to how recent trends in virtual reality (VR) have changed the way tourism and hospitality industry communicates their offerings and meets the tourists’ needs. Design/methodology/approach The approach is based on systematic literature review, where the relations between focal concepts are given to analyze potential future developments concerning VR. Findings The paper identifies and analyzes how VR technology affected tourism and hospitality industry through three main touch points – future tourism planning and management, technology-based marketing of tourism destinations and VR potential in changing consumer requirements. These concepts were analyzed to identify changing forces and suggest potential paradigm shifts that tourism and hospitality suppliers and marketers need to consider. These included realistic virtual travel replacements, the importance of interactive experiences and innovation in future tourism systems. Originality/value While there has been increasingly larger number of discussions on how tourists and tourism and hospitality industry have been using information and communication technology recently, there is little evidence of scholars and practitioners applying such methods. This paper used systematic literature review to illustrate means in which VR could be ingrained into tourism and hospitality services to meet the needs of tourists. It suggests that VR can and probably will fundamentally change the way in which tourists’ experiences and requirements are managed entirely.

Acute erythroleukemia (AML-M6 or AEL) is a rare but aggressive hematologic malignancy. Previous studies showed that AEL leukemic cells often carry complex karyotypes and mutations in known AML-associated oncogenes. To better define the underlying molecular mechanisms driving the erythroid phenotype, we studied a series of 33 AEL samples representing three genetic AEL subgroups including TP53-mutated, epigenetic regulator-mutated (e.g. DNMT3A, TET2 or IDH2), and undefined cases with low mutational burden. We established an erythroid vs. myeloid transcriptomics-based space in which, independently of the molecular subgroup, the majority of the AEL samples exhibited a unique mapping different from both non-M6 AML and myelodysplastic syndrome samples. Notably, more than 25% of AEL patients, including in the genetically-undefined subgroup, showed aberrant expression of key transcriptional regulators, including SKI, ERG, and ETO2. Ectopic expression of these factors in murine erythroid progenitors blocked in vitro erythroid differentiation and led to immortalization associated with decreased chromatin accessibility at GATA1 binding sites and functional interference with GATA1 activity. In vivo models showed development of lethal erythroid, mixed erythroid/myeloid or other malignancies depending on the cell population in which AEL-associated alterations were expressed. Collectively, our data indicates that AEL is a molecularly heterogeneous disease with an erythroid identity that results in part from the aberrant activity of key erythroid transcription factors in hematopoietic stem or progenitor cells.

S-matrix theory is used in order to analyze the energy spectra of electron-atom potential scattering assisted by a bicircular (two-component circularly polarized) laser field having corotating field components. The double scattering (rescattering) is also included in the analysis by applying the second Born approximation in the expansion of the S-matrix element. We have investigated how the energy spectrum of scattered electrons is affected by the scattering angle. We have also analyzed the sensitivity of the energy spectrum to the relative phase and intensity ratio of the laser-field components. The calculated energy spectra are characterized by the plateau-like oscillatory structures with abrupt cutoffs. Positions of these cutoffs in the energy spectra are confirmed by a classical analysis. Rescattering effects can be observed in the calculated energy spectra for certain values of the scattering angle. These effects are represented by the second plateau in the energy spectrum. This is different from the process of above-threshold ionization/detachment by a bicircular laser field, where the (re)scattering effects in the photoelectron energy spectra cannot be observed in the case of corotating laser-field components.

Increasing redox reaction rates on carbon electrodes is an important step to reducing the cost of all-vanadium redox flow batteries (VRFBs). Biomass-derived activated carbons (ACs) hold promise as ...

Recommender systems constitute the core engine of most social network platforms nowadays, aiming to maximize user satisfaction along with other key business objectives. Twitter is no exception. Despite the fact that Twitter data has been extensively used to understand socioeconomic and political phenomena and user behaviour, the implicit feedback provided by users on Tweets through their engagements on the Home Timeline has only been explored to a limited extent. At the same time, there is a lack of large-scale public social network datasets that would enable the scientific community to both benchmark and build more powerful and comprehensive models that tailor content to user interests. By releasing an original dataset of 160 million Tweets along with engagement information, Twitter aims to address exactly that. During this release, special attention is drawn on maintaining compliance with existing privacy laws. Apart from user privacy, this paper touches on the key challenges faced by researchers and professionals striving to predict user engagements. It further describes the key aspects of the RecSys 2020 Challenge that was organized by ACM RecSys in partnership with Twitter using this dataset.

Recommender systems constitute the core engine of most social network platforms nowadays, aiming to maximize user satisfaction along with other key business objectives. Twitter is no exception. Despite the fact that Twitter data has been extensively used to understand socioeconomic and political phenomena and user behaviour, the implicit feedback provided by users on Tweets through their engagements on the Home Timeline has only been explored to a limited extent. At the same time, there is a lack of large-scale public social network datasets that would enable the scientific community to both benchmark and build more powerful and comprehensive models that tailor content to user interests. By releasing an original dataset of 160 million Tweets along with engagement information, Twitter aims to address exactly that. During this release, special attention is drawn on maintaining compliance with existing privacy laws. Apart from user privacy, this paper touches on the key challenges faced by researchers and professionals striving to predict user engagements. It further describes the key aspects of the RecSys 2020 Challenge that was organized by ACM RecSys in partnership with Twitter using this dataset.

This study presents a secret key sharing protocol that establishes cryptographically secured communication between two entities. A new symmetric key exchange scenario for smart city applications is presented in this research. The protocol is based on the specific properties of the Fuss-Catalan numbers and the Lattice Path combinatorics. The proposed scenario consists of three phases: generating a Fuss-Catalan object based on the grid dimension, defining the movement in the Lattice Path Grid and defining the key equalisation rules. In the experimental part, the authors present the security analysis of the protocol as well as its test. Also, they examine the equivalence of the proposed with Maurer's satellite scenario and suggest a new scenario that implements an information-theoretical protocol for the public key distribution. Additionally, a comparison with related studies and methods is provided, as well as a comparison with satellite scenario, which proves the advantages of solution presented by the authors. Finally, they propose further research directions regarding key management in smart city applications.

Since the development of the original Support Intensity Scale—Adult Version (SIS-A) and the Support Intensity Scale—Child Version (SIS-C), the interest in supporting people with intellectual disabilities (ID) has changed. Resource allocation, better quality of resource utilization in the rehabilitation process, the development of support systems, and redefining the roles of organizations that support people with ID are just some of the changes. The aim of this study was to determine the factor structure of the SIS-C conducted on a sample of Bosnian–Herzegovinian (B&H) children (SISC B&H). The study included 377 children ID in B&H, aged 5-16. The data was analyzed with the SPSS 21 software (with the AMOS package). Exploratory factor analysis (EFA) was used to examine the factor structure of the SIS-C. Confirmatory factor analysis (CFA) was applied to determine the factor and constructive validity of SIS-C B&H. The CFA results indicated a poor fit of both the theoretical and empirical models even after modifications were made. The EFA showed the opposite results. This could be explained by the fact that within the factor solutions obtained from the EFA, various aslope or orthogonal models, linear or hierarchical, can be constructed. Among these models, some exhibited good fit to the data. Thus, data from the current study could be used to generate new hypotheses and deliver more conclusive answers.