A copy of a graph F is called an F-copy. For any graph G, the F-isolation number of G, denoted by ι(G,F), is the size of a smallest subset D of the vertex set of G such that the closed neighbourhood N[D] of D in G intersects the vertex sets of the F-copies contained by G (equivalently, G−N[D] contains no F-copy). Thus, ι(G,K1) is the domination number γ(G) of G, and ι(G,K2) is the vertex-edge domination number of G. Settling a conjecture of Zhang and Wu, the present first author proved that if F is a k-edge graph, γ(F)=1 (that is, F has a vertex that is adjacent to all the other vertices of F), and G is a connected m-edge graph, then ι(G,F)≤m+1k+2 unless G is an F-copy or F is a 3-vertex path and G is a 6-cycle. The graphs that attain the bound were determined for 0≤k≤1 by Fenech, Kaemawichanurat and the present first author, and for k=2 by Zhang and Wu. In this paper, we determine them for k≥3. Our result was also conjectured by Zhang and Wu.
Purpose-This article aims at exploring the importance of perceived benefits in scholars' decision to use generative artificial intelligence (GAI), as well as at developing and testing a theoretical multifaceted model of scholars' intention to use GAI. Design/methodology/approach-The article uses a mixed deductive-inductive approach. The theoretical multifaceted model of scholars' intention to employ GAI was tested based on structural equation modelling using partial least squares (PLS-SEM) and a survey conducted among 471 scientists. Findings-The results show that the benefits perceived by scholars in the fields of teaching and research have the strongest influence on their decision to employ GAI. On the other hand, perceived benefits in the administrative field are not of importance in scholars' intention to use GAI. Research limitations/implications-The research conducted was limited in context (universities in Poland) and did not take into account a longitudinal perspective, which could have led to the omission of changes in researchers' intentions regarding the use of GAI as a result of more intensive use of those tools in scientific work (those intentions are subject to change over time). Originality/value-The presented research constitutes a significant contribution to the literature on the use of GAI in the academic environment. Relative to previous research, our findings offer a new conceptual framework that illustrates the perceived benefits of GAI in shaping researchers' intentions to use it, taking into account the following three key areas of academic activity: research, teaching and administrative tasks. The findings respond to the need for an in-depth analysis. They also include an analysis of the impact of socio-demographic factors and personality traits on the intention to use GAI, which constitutes an innovative contribution to the existing scientific achievements in this field.
This collective article presents new information about 18 species occurring in 12 Mediterranean countries from the Alboran Sea to the Levantine Sea. Five lessepsian species namely Erugosquilla massavensis, Syrnola fasciata, Plocamopherus ocellatus, Maritigrella fuscopunctata and Siganus javus have spread within 2025 to neighbouring MSFD areas. Another five are here reported as first country records [Polyandrocarpa zorritensis (Malta), Gonioinfradens giardi (Italy), Istiblennius meleagris (Egypt), Epinephelus fasciatus (Israel), Lophocladia trichoclados (Montenegro)]. Cladophora patentiramea has spread from the Levantine to the Aegean Sea, while Pinctada radiata has reached Granada, and C & aacute;diz. The Atlantic fish Enchelycore anatina and Synodus synodus have expanded their distribution to Montenegro and Syria respectively. Three rare native species are reported for first time at country level, while a fourth (Mobula birostris) has made an appearance more than a century after its first Mediterranean record.
This article surveys some of the work on the theoretical foundations of runtime monitoring carried out by various subsets of its authors over the last decade. It focuses on runtime monitoring of classic regular properties, of data-dependent properties and of hyperproperties. The paper also highlights the research philosophy guiding those studies, and the role that classic notions and techniques from concurrency theory have played in them.
Mobile users are increasingly engaging with edutainment gaming apps in formal and informal contexts. They are drawn to them for their educational and entertainment aspects. In this light, this study validates the Theory of Planned Behavior’s key measures and integrates them with game narratives and game aesthetics constructs to better understand the extent to which psychological and gaming design factors are predicting the individuals’ intentions to play with these learning technologies. The data were gathered through a survey questionnaire from one hundred eighty-six (n = 186) respondents, who were higher education students in a Southern European university. The quantitative findings analyzed through partial least squares (PLS) revealed that the gamers appreciate the edutainment platforms’ audiovisual effects as well as their storylines and narratives. The results reported that mobile users enjoyed playing with entertaining learning apps. Respondents indicated that they were willing to continue their gameplay in the future. In conclusion, this contribution raises awareness on the important synergies between gaming design elements and behavioral dimensions driving the users’ engagement with edutainment apps. It puts forward a robust theoretical framework that is empirically-grounded.
