Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be difficult, costly, and error prone. This presents a practical barrier to the adoption of process technologies, which would be lowered by automated assistance in creating formal models.To this end, we have developed a data analysis technique that we term process discovery. Under this technique, data describing process events are first captured from an on-going process and then used to generate a formal model of the behavior of that process. In this paper we describe a Markov method that we developed specifically for process discovery, as well as describe two additional methods that we adopted from other domains and augmented for our purposes. The three methods range from the purely algorithmic to the purely statistical. We compare the methods and discuss their application in an industrial case study. Report Documentation PageForm Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes

Two longitudinal field experiments in a middle school examined how a brief "values affirmation" affects students' psychological experience and the relationship between psychological experience and environmental threat over 2 years. Together these studies suggest that values affirmations insulate individuals' sense of belonging from environmental threat during a key developmental transition. Study 1 provided an analysis of new data from a previously reported study. African American students in the control condition felt a decreasing sense of belonging during middle school, with low-performing students dropping more in 7th grade and high-performing students dropping more in 8th grade. The affirmation reduced this decline for both groups. Consistent with the notion that affirmation insulates belonging from environmental threat, affirmed African American students' sense of belonging in Study 1 fluctuated less over 2 years and became less contingent on academic performance. Based on the idea that developmentally sensitive interventions can have long-lasting benefits, Study 2 showed that the affirmation intervention was more effective if delivered before any drop in performance and subsequent psychological toll could unfold. The role of identity threat and affirmation in affecting the encoding of social experience, and the corresponding importance of timing treatments to developmentally sensitive periods, are explored.

Online therapy, defined as the provision of mental health services through the Internet, is a growing field that has sparked an abundance of interest and controversy. A primary concern in the practice of online therapy is whether a working alliance, considered a central component of successful therapy, can develop when participants are geographically separated. Working alliance scores were compared between a small, primarily female sample of online therapy consumers and a representative sample of traditional face-to-face therapy clients. Results revealed significantly higher means on the goal subscale and composite score of the Working Alliance Inventory in the online sample, suggesting that a working alliance can be adequately established in therapy delivered online. No significant differences in the level of working alliance were found within the online therapy sample with respect to modality of communication, client presenting problem, or therapist. Themes from comments suggest the importance for participants of the disinhibiting effects of the medium.

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