This study aimed to investigate the reliability, validity, and sensitivity of spatiotemporal parameters, during sprint skating, of bandy players. Thirty-two well-trained male bandy players (age: 17.8 ± 1.2 years; height: 1.80 ± 0.06 m; body mass: 75.7 ± 1.2 kg) participated in this study. They performed two 80 m linear skating sprints. To calculate the velocities and obtain glide-by-glide spatiotemporal variables, nine timing gates and two skate-mounted inertial measurement units (IMUs) were synchronized and used. The spatiotemporal variables at each step included the glide time, glide length, double support time, double support length, step length, and step frequency. All the spatiotemporal variables were analyzed separately: averaged over 80 m, during the acceleration, and the maximal steady-state phases. The relative and absolute reliability of the spatiotemporal parameters were good (ICC > 0.70; CV < 10%), except for the step frequency during the steady-state phase. The spatiotemporal parameters showed “good” to “satisfactory” sensitivity during the acceleration phase and whole sprint, and “marginal” sensitivity during the steady-state phase. Content validity was confirmed by a low percentage of the shared variance (17.9–34.3%) between the spatiotemporal parameters obtained during the acceleration and steady-state phases. A “stepwise” regression significantly predicted the steady-state skating velocity from the spatiotemporal metrics obtained during the acceleration [F(5,26) = 8.34, p < 0.001, adj. R2 = 0.62] and steady-state phases [F(5,26) = 13.6, p < 0.01, R2 = 0.67]. Only the step frequency obtained in the acceleration phase significantly predicted the maximal skating velocity (p < 0.01), while the glide length and step frequency derived during the steady-state phase significantly added to the prediction (p < 0.01). In conclusion, the spatiotemporal parameters, obtained by two skate-mounted IMUs, were shown to be reliable and sensitive measures of sprint skating, and they could be used to provide independent information for the different skating phases. The maximal skating velocity could be predicted from the spatiotemporal parameters, with longer gliding and more frequent steps as the most significant determinants.

Telepresence robots, designed to bridge physical distances, have unique capabilities and inherent limitations when deployed in classroom environments. This study examines these aspects, focusing on how telepresence robots facilitate or hinder classroom accessibility and inclusivity. Based on field study results from participatory observations, surveys and interviews with 22 participants, we present and catalogue the operational capabilities of telepresence robots, such as mobility and interaction potential, alongside their limitations in areas like sensory perception and social presence. Our findings reveal a nuanced landscape where telepresence robots act as both enablers and barriers in the classroom. This duality raises the question of whether these robots can be considered “disabled” in certain contexts and how this perceived disability impacts remote students’ inclusion in classroom dynamics. Finally, we present use recommendations to improve classroom experience and telepresence design.

Robot motion planning is a challenging domain as it involves dealing with high-dimensional and continuous search space. In past decades, a wide variety of planning algorithms have been developed to tackle this problem, sometimes in isolation without comparing to each other. In this study, we benchmark two such prominent types of algorithms: OMPL's sampling-based RRT-Connect and SMPL's search-based ARA* with motion primitives. To compare these two fundamentally different approaches fairly, we adapt them to ensure the same planning conditions and benchmark them on the same set of planning scenarios. Our findings suggest that sampling-based planners like RRT-Connect show more consistent performance across the board in high-dimensional spaces, whereas search-based planners like ARA* have the capacity to perform significantly better when used with a suitable action-space sampling scheme. Through this study, we hope to showcase the effort required to properly benchmark motion planners from different paradigms thereby contributing to a more nuanced understanding of their capabilities and limitations. The code is available at https://github.com/gsotirchos/benchmarking_planners

PurposeTo understand how three features of online consumer reviews - the strength of persuasiveness in online consumer reviews (argument quality), the number of online consumer reviews (volume of reviews), and source credibility – are related to the behavioural intentions in the movie consumption context. Besides, the present study aims to explore intergenerational differences (X, Y, and Z) in the patterns of association between three characteristics of online consumer reviews (argument quality, volume of reviews, and source credibility) and an individual’s choice of a movie intended to be watched.Design/methodology/approachThe study sample (n = 518) was recruited from a population of users of IMDb living in Bosnia and Herzegovina. Structural equation modelling and multi-group analysis were used to test the proposed hypotheses.FindingsThe results revealed that argument quality, the volume of reviews, and source credibility of movie-related online consumer reviews are positively related to the intention to watch a movie for all three generational cohorts (X, Y, and Z). Regarding biases in processing information cues, our findings indicate that movie viewers from all three generations (X, Y, and Z) make inferences between source credibility and argument quality. However, biases in the relation between the volume of reviews and the argument quality were found only among X-ers and Y-ers but not among Z-ers.Originality/valueThe present study contributes to the eWOM research stream by examining the role of different characteristics of online consumer reviews (argument quality, the volume of reviews, and the source credibility) in movie consumption. Moreover, it sheds light on how argument quality, the volume reviews and the source credibility interact with the behavioural intentions of different generations and whether these interactions exhibit similarities or differences across three distinct generation cohorts: X-ers, Y-ers, and Z-ers.

<p>The paper presents the assessment of the stadium "Sjeverni logor" in Mostar, through the necessary steps in diagnosing the state of the existing structure: collection of existing documentation, inspection of the structure, testing and analysis, and assessment and decision on further action. Drawings of the stadium were made with defined damage and test points with non-destructive methods.</p> <p>Destruction and classification mechanisms are performed according to EN1504. The non-destructive methods used during the examination are the rebound hammer and ultrasonic pulse velocity. At the end of this paper, the results and assessment of the condition are given, and the appropriate methods of sanctions are proposed, in accordance with EN1504.</p>

In this paper $\left( S(t)\right) _{t\geq 0}$ is an exponentially bounded integrated semigroup on a Banach space $X,$ with generator $A.$ We present some relations between an integrated semigroup and its generator $A,$ or its resolvent.   2000 Mathematics Subject Classification. 47D60, 47D62

By using the quadratic interpolating spline a new class of the quadrature rules was obtained. Those formulas are modifications of the well known trapezoidal rule. The basic characteristic of those formulas is a free parameter. With appropriate choice of that parameter, accuracy of the trapezoidal rule can be improved up to $O(h^4).$ Besides this, by using this nonstandard techniques some well known quadrature rules were also obtained.   2000 Mathematics Subject Classification. 65D32, 65D07

IP devices are ubiquitously spread, for both residential and industrial purposes, thanks to the low integration costs and rapid development cycle of all-IP-based 5G+ technologies. As a consequence, the engineering community now considers their automatization and energy scheduling/management as relevant research fields. These topics have a striking relevance also for the development of smart city networks. As a drawback, most ID-device applications produce a large amount of data (high-frequency complexity), requiring supervised machine learning algorithms to be properly analyzed. In this research, we focus on the performance of vehicular mobility and imaging systems, recognizing scenarios (with powered-on devices) in real-time, with the help of a simple convolutional neural network, proving the effectiveness of such an innovative low-cost approach.

In this paper $X$ is a Banach space, $\left( {S(t)}\right) _{t\geq 0}$ is non-dege\-ne\-ra\-te $\alpha -$times integrated, exponentially bounded semigroup on $X$ $(\alpha \in \mathbb{R}^{+}),$ $M\geq 0$ and $\omega _{0}\in \mathbb{R}$ are constants such that $\left\| {S(t)}\right\| \leqslant Me^{\omega _{0}t}$ for all $t\geq 0,$ $\gamma $ is any positive constant greater than $\omega _{0},$ $\Gamma $ is the Gamma-function, $(C,\beta )-\lim $ is the Ces\`{a}ro-$\beta $ limit. Here we prove that\begin{equation*}\mathop {\lim }\limits_{n\rightarrow \infty }\frac{1}{{\Gamma(\alpha )}} \int\limits_{0}^{T}{(T-s)^{\alpha -1}\left({\frac{{n+1}}{s}}\right) ^{n+1}R^{n+1}\left({\frac{{n+1}}{s},A}\right) x\,ds=S(T)x,}\end{equation*}for every $x\in X,$ and the limit is uniform in $T>0$ on any bounded interval. Also we prove that\begin{equation*}S(t)x=\frac{1}{{2\pi i}}(C,\beta )-\mathop {\lim }\limits_{\omega\rightarrow \infty }\int\limits_{\gamma -i\omega }^{\gamma+i\omega }{ e^{\lambda t}\frac{{R(\lambda ,A)x}}{{\lambda^{\alpha }}}\,d\lambda },\end{equation*}for every $x\in X,\,\,\beta >0$ and $t\geq 0.$   2000 Mathematics Subject Classification. 47D06, 47D60, 47D62

<p>Modern data collection, storage, and processing rely on diverse techniques to handle various types of information, ranging from structured tables to free-form text. This paper explores the captivating application of Natural Language Processing (NLP) for categorizing titles from Google Forms or any other textual data. The process of training an NLP model will be demonstrated through a specific example. Just as we learn from our past experiences, NLP models need to be fed with relevant data and labels. This ensures accurate and efficient processing even when new titles are introduced. We will conclude with a fascinating demonstration of how NLP algorithms analyze the structure and meaning of titles. By identifying keywords and understanding the context, they can automatically classify titles into relevant categories. This dramatically simplifies data organization and analysis, empowering us to extract valuable insights faster.</p>

Let ($S, \mathfrak{A}, \mu$) be a finite measure space and let $\phi: S \rightarrow S$ be a transformation which preserves the measure $\mu$. The purpose of this paper is to give some (measure theoretical) necessary and sufficient conditions for the transformation $\phi$ to be measurability-preserving ergodic with respect to $\mu$. The obtained results extend well-known results for invertible ergodic transformations and complement the previous work of R.E. Rice on measurability-preserving strong-mixing transformations.   2000 Mathematics Subject Classification. Primary: 28D0

<p>Regional analysis is often used for flood quantile estimation in ungauged catchments. The regionalization procedure has two phases: the formation of homogeneous regions and flood quantile estimation. The presented research results consider the first phase of the regional analysis for 41 catchments in Serbia. The catchment similarity attributes are catchment area and catchment mean elevation. The number of formed regions and the number of stations within the regions are determined by maximising the mean silhouette width of the region. Regions were first obtained by cluster analysis and then adjusted to comprise catchments with a positive silhouette width. For the three formed regions, homogeneity was checked by the Gini index - GI.</p>

<p class="KEYWORDS">Architectural designers are currently faced with many challenges&mdash;technological changes, environmental and economic impacts, necessity to innovate and raise the bar in building performance, and the paradigm shift in architecture with the wider adoption of advanced computational design and fabrication techniques. This paper focuses on innovations in architecture, relationships between scientific research and design, and advanced building technologies. Several research projects are presented, including use of virtual and augmented reality for design, smart facade systems for generating heating/cooling and electricity, and regenerated buildings with improved performance.</p>

In this paper we investigate measure-theoretic properties of the class of all weakly mixing transformations on a finite measure space which preserve measurability. The main result in this paper is the following theorem: If $\phi $ is a weakly mixing transformation on a finite measure space $( S, \mathcal A , \mu )$ with the property that $\phi (\mathcal A ) \subseteq \mathcal A ,$ then for every $A, B $ in $\mathcal A$ there is a subset $J(A,B)$ of the set of non-negative integers of density zero such that $\lim _{m \to \infty ,m \notin J(A,B)} \mu (A \cap \phi ^m(B)) = (\mu (A) / \mu (S))\lim _{n \to \infty } \mu \,(\phi^n(B)).$ Furthermore, we show that for most useful measure spaces we can strengthen the preceding statement to obtain a set of density zero that works for all pairs of measurable sets $A$ and $ B.$ As corollaries we obtain a number of inclusion theorems. The results presented here extend the well-known classical results (for invertible weakly mixing transformations), results of R. E. Rice [17] (for strongly mixing), a result of C. Sempi [19] (for weakly mixing) and previous results of the author [8, 10] (for weakly mixing and ergodicity).   2000 Mathematics Subject Classification. Primary: 28D05, 37A25; Secondary: 37A05, 47A35