Anti-OMG (aa 94-376) polyclonal antibody

Semiconductor fabs are among the world's most expensive factories, and present some of the most interesting manufacturing planning and control problems. It's not a surprise that simulation is the workhorse analysis methodology, both in practice and in research. Over the past thirty years, a number of "standard" wafer fab test problems have been published to provide a common basis for comparing proposed planning and control policies and algorithms. We present a reference model, expressed in an analysis application agnostic language, OMG SysML (TM), that can be used to specify any of these test problems. We then show how this reference model also can be used to automate the generation of analysis models for one particular simulation solver, and argue for the use of parametric problem generators as a way to more fully explore planning and control methods.

Cyberbullying, defined as bullying that takes place using technology, includes similar tactics found in traditional bullying as well as unique approaches such as viral repetition. Nationally, prevalence rates for cyberbullying range from 10% to as high as 40% of school-aged children, depending on the definition and measurement tool applied. The current study examines public tweets with keywords and hashtags related to cyberbullying posted during May 2016, using both human evaluation and computer examination to answer the following research questions: (1) What is the sentiment of tweets using cyberbullying keywords/hashtags? (2) What is the thematic content of the tweets? (3) What is the relationship between coding by researchers versus automated coding by Linguistic Inquiry and Word Count (LIWC) software? and (4) What is the content of the URLs attached to the tweets? A unique aspect of this study is the examination of the content of URLs included in the tweets, with the finding that the majority of the accessible URL references were to material that was positively focused. The majority of sample tweets referred to a cyberbully situation, contributed to a negative atmosphere, included references to known individuals, and suggested ongoing cyberbullying events. Results from this study suggest an opportunity for researchers, educators, and public health practitioners to use discourse on social media to inform interventions, to educate and share information, and to promote social well-being and mental health.