595 research outputs found

    Tarzia, L., McKenzie, M., Forbes-Mewett, H., Tran, L.T., Murdolo, A., Navarro Medel, C., Ezer, P., Tran, G., Hach, M., McLindon, E. & Hegarty, K. (2025). Sex and relationships: Understanding your rights in Australia. The University of Melbourne.

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    Tarzia, L., McKenzie, M., Forbes-Mewett, H., Tran, L.T., Murdolo, A., Navarro Medel, C., Ezer, P., Tran, G., Hach, M., McLindon, E. & Hegarty, K. (2025). Sex and relationships: Understanding your rights in Australia. The University of Melbourne

    An Adaptation of the Questionnaire for Social Anxiety and Social Competence Deficits (SASKO) for Adolescents and its Evaluation in a German Student Sample

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    In the diagnostics of social phobia in adults the SASKO self-report questionnaire serves as an instrument that measures social anxiety and social deficits as two separate dimensions. This paper describes the development of an adaptation of the SASKO for adolescents (SASKO-J) and verifies its applicability, factor structure, and psychometric properties. The factor structure and reliability of the SASKO-J were evaluated in an unselected sample of 228 German students from grades 7 to 11 (M = 14.77 years, SD = 1.33; 50% girls). In a second sample of 115 students the validity was examined (M = 15.84, SD = 1.65; 61% girls). Confirmatory factor analysis confirmed the five-factor structure of the SASKO (two anxiety and two deficit related factors and an additional factor “loneliness”). With the exception of the subscale “information-processing deficits”, the internal consistencies were satisfactory to good (0.77≤ α ≤0.88). The results regarding convergent and divergent validity were also good. Students from different types of school differed in their levels of social anxiety, girls reported significantly more fear of rejection than boys, and the youngest students had the highest level of symptoms. Future research should address the optimizing of the subscale “information-processing deficits” and should examine the psychometric properties of the SASKO-J in a clinical sample

    HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network

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    Wireless sensor networks (WSNs) require energy management protocols to ef ciently use the energy supply constraints of battery-powered sensors to prolong its network lifetime. This paper proposes a novel Heuristic Algorithm for Clustering Hierarchy (HACH), which sequentially performs selection of inactive nodes and cluster head nodes at every round. Inactive node selection employs a stochastic sleep scheduling mechanism to determine the selection of nodes that can be put into sleep mode without adversely a ecting network coverage. Also, the clustering algorithm uses a novel heuristic crossover operator to combine two di erent solutions to achieve an improved solution that enhances the dis- tribution of cluster head nodes and coordinates energy consumption in WSNs. The proposed algorithm is evaluated via simulation experiments and compared with some existing algorithms. Our protocol shows improved performance in terms of extended lifetime and maintains favourable performances even under di erent energy heterogeneity settings

    M&A im Bereich Erneuerbarer Energien

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    Several top deals already closed, a still highly fragmented industry and strong pressure for further consolidation following the financial crisis - renewable energy certainly has become a red-hot topic in M&A. Surveying 220 companies in the solar photovoltaic, utility and financial sector as well as major technology corporations, which are identified as the key industries in the sector-specific takeover market, this working paper proves the common knowledge for the example of photovoltaics. With more than 93% of the respondents, a vast majority expects the M&A environment to further ameliorate and deals to increase. As for the fundamental market drivers, the survey suggests a shift from factors linked to the financial crises towards an increasing impact of general industry-related influences. In contrast, neither the industry sector nor other corporate characteristics are of significant importance. With respect to prevailing takeover strategies, the survey reveals a strong influence of general acquisition motives. However, an empirically significant connection can be determined between the industry sector of potential buyers and the most relevant motivation factors, which allows for the assumption of business-affected takeover strategies that are elaborated on more closely within the working paper. Examining an acquisition focus in terms of the targets' position in the photovoltaic value chain, no statistically valid connection can be observed with either the acquisition motivation or the industry sector of the potential buyer, leaving room for further research
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