Iskanje po repozitoriju

Opis: Two finite groups $L_1$ and $L_2$ are compatible if there exists a finite group $G$ with isomorphic normal subgroups $N_1$ and $N_2$ such that $L_1 \cong G/N_1$ and $L_2 \cong G/N_2$. We prove a new sufficient condition for two groups to be compatible. As a corollary, we obtain that nilpotent groups of the same order are compatible, and so are groups of the same square-free order.
Ključne besede: compatibility, finite nilpotent groups, p-groups
Objavljeno v RUP: 20.03.2026; Ogledov: 377; Prenosov: 6
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Opis: We present a novel isogeometric collocation method for solving the Poisson’s and the biharmonic equation over planar bilinearly parameterized multi-patch geometries. The proposed approach relies on the use of a modified construction of the Cs-smooth mixed degree isogeometric spline space [1] for s=2 and s=4 in case of the Poisson’s and the biharmonic equation, respectively. The adapted spline space possesses the minimal possible degree p=s+1 everywhere on the multi-patch domain except in a small neighborhood of the inner edges and of the vertices of patch valency greater than one where a degree p=2s+1 is required. This allows to solve the PDEs with a much lower number of degrees of freedom compared to employing the Cs-smooth spline space [2] with the same high degree p=2s+1 everywhere. To perform isogeometric collocation with the smooth mixed degree spline functions, we introduce and study two different sets of collocation points, namely first a generalization of the standard Grevile points to the set of mixed degree Greville points and second the so-called mixed degree superconvergent points. The collocation method is further extended to the class of bilinear-like Gs multi-patch parameterizations [3], which enables the modeling of multi-patch domains with curved boundaries, and is finally tested on the basis of several numerical examples.
Ključne besede: isogeometric analysis, collocation, C^s-smoothness, mixed degree spline space, multi-patch surface
Objavljeno v RUP: 05.03.2026; Ogledov: 394; Prenosov: 19
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Opis: The coaching relationship is recognized as a key factor for coaching success, yet its specific components remain unclear. This article presents an evidence-based integrative systematic literature review, including 206 documents. Findings indicate that although the coaching relationship is often examined as one of several factors influencing coaching success, its composition and underlying elements have rarely been studied. Moreover, the client’s perspective has been largely overlooked. A theoretical model was developed to interpret the data, offering a conceptual ‘map’ of the coaching relationship. The paper highlights areas for future research, emphasizing the need for a deeper exploration of client experiences.
Ključne besede: coaching psychology, coaching relationship, systematic literature review, effectiveness, coaching success
Objavljeno v RUP: 24.02.2026; Ogledov: 687; Prenosov: 21
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Opis: Many areas of artificial intelligence, and machine learning in particular, aim at being probably correct, i.e., valid on average, rather than pursuing the idealistic goal of being provably valid for all inputs. However, AI systems could still be predictably valid, such as an imperfect robot deliverer for which we can reliably and precisely predict the task instances for which it is correct and safe, its valid operating range. “Predictable AI” is a nascent research area that explores ways of anticipating key validity indicators (e.g., performance, safety) of present and future AI ecosystems. We argue that achieving predictability is crucial for fostering trust, liability, control, alignment and safety of AI, and thus should be prioritised over performance. We formally characterise predictability, explore its most relevant components, illustrate what can be predicted, describe alternative candidates for predictors, as well as the trade-offs between maximising validity and predictability. To illustrate these concepts, we bring an array of illustrative examples covering diverse ecosystem configurations. “Predictable AI” is related to other areas of technical and non-technical AI research, but have distinctive questions, hypotheses, techniques and challenges. This paper aims to elucidate them, calls for identifying paths towards a landscape of predictably valid AI systems and outlines the potential impact of this emergent field.
Ključne besede: predictable AI, general-purpose AI, AI safety
Objavljeno v RUP: 09.02.2026; Ogledov: 487; Prenosov: 6
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Opis: Introduction The global increase in the older adult population has amplified interest in supporting aging in place. Age-related physical and cognitive limitations pose significant challenges, for example managing daily tasks such as medication or household activities can become increasingly difficult. This also burdens informal caregivers with emotional stress, time demands and care coordination. Assistive technologies can enhance autonomy, social connection and health management, but their long-term adoption and use remain limited. Methods Within the Pharaon project, the study explored factors influencing technology use among older adults after 12 months of use. The research focused on the Italian pilot while integrating insights from other European sites. Qualitative data from semi-structured interviews were analyzed thematically and validated through reflection meetings and iterative online questionnaires. Recurring factors were consolidated, prioritized and mapped to explore interconnections affecting adoption. Results Initial findings revealed 30 factors, including personal characteristics, motivational aspects, technical design, social dynamics, and environmental context. These were rated by participating teams and 25 were retained for deeper analysis. An interconnection analysis explored how these factors influenced one another. Highly interconnected factors, such as social context, personalized training, ease of use, and cognitive changes, were central to understanding and improving technology adoption. In contrast, aspects like education level, internet access, and technical requirements appeared less interconnected, indicating more isolated effects. Discussion This multi-site, empirical investigation emphasizes the complex and interconnected nature of technology adoption among older adults. Our findings underscore the need for user-centered design, tailored training, and sensitivity to social context. Furthermore, the interactive mapping of interrelated factors provides a practical framework for developers and policymakers to target impactful interventions. To our knowledge, this is the first cross-pilot study to empirically define and score factors affecting older adults’ technology use based on multi-pilot data across Europe, offering valuable insights for long-term, meaningful engagement.
Ključne besede: older adults, technology usage, factors influencing technology use, user experience, assistive technology
Objavljeno v RUP: 05.02.2026; Ogledov: 499; Prenosov: 3
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