Unconventional copper wirebond looping profile approach

Author(s):  
Allen M. Descartin ◽  
Wei Yadong ◽  
Li Jun ◽  
Xu Xuesong ◽  
Song Zhanbin
Keyword(s):  
2002 ◽  
Vol 389-393 ◽  
pp. 1523-1526
Author(s):  
Jeong Park ◽  
Chin C. Lee ◽  
Jong Wook Kim ◽  
Jae Seung Lee ◽  
Won Sang Lee ◽  
...  

Author(s):  
Anouk van Dijk ◽  
Julie A. Hubbard ◽  
Peter K. H. Deschamps ◽  
Wieteke Hiemstra ◽  
Hanneke Polman

AbstractThe present study examined whether there are distinct groups of children with reactive versus proactive motives for their aggressive behavior. We extended previous research by using a person-based analytical approach on data from a questionnaire assessing children’s motives independently from the severity of their aggression. Two competing hypotheses were tested. The both subtypes hypothesis holds that both reactive and proactive subtypes exist, as well as a mixed subtype. The reactive only hypothesis holds that only reactive and mixed subtypes exist. Hypotheses were tested on existing data from a community sample of children displaying aggression (Study 1: n = 228, ages 10–13, 54% boys), and two clinical samples of children with aggressive behavior problems (Study 2: n = 115, ages 8–13, 100% boys; Study 3: n = 123, ages 6–8, 78% boys). Teachers reported on children’s reactive and proactive motives. We selected measures available from peers, parents, teachers, and children themselves to compare the supported subtypes on variables that previous literature suggests uniquely correlate with reactive versus proactive aggression. Confirmatory latent profile analyses revealed that the both subtypes hypothesis best fit the data of all three samples. Most children were classified as reactive (55.7–61.8% across samples), with smaller percentages classified as proactive (10.4–24.1%) and mixed (18.0–33.9%). However, these subtypes only differed in expected directions on 7 out of 34 measures. Overall, results support the existence of both reactive and proactive subtypes of aggressive children, but the distinctiveness of these subtypes in terms of social-emotional characteristics warrants further study.


NeuroImage ◽  
2021 ◽  
pp. 118097
Author(s):  
Mohammad Daneshzand ◽  
Sergey N. Makarov ◽  
Lucia I. Navarro de Lara ◽  
Bastien Guerin ◽  
Jennifer McNab ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiaojiao Qu ◽  
Shuming Zhao ◽  
Yixuan Zhao

Purpose This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization. Design/methodology/approach Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies. Findings Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences. Research limitations/implications As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts. Practical implications The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees. Originality/value This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice.


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