Are suicide rates higher or lower for patients on antidepressants, regardless of age? Has the FDA warning prevented deaths by suicide or unintentionally caused more?
Jurij Paraszczak 7 Session 1: Peter Rittgen 24 Beyond Process Mining: From the Past to Present and Future. Magne Davidsen and John Krogstie Session 7: Open-Closed Principle or Clairvoyance?
Search Computing defines a new class of applications, which enable end users to perform exploratory search processes over multi-domain data sources available on the Web.
These applications exploit suitable software frameworks and models that make it possible for expert users to configure the data sources to be searched and the interfaces for query submission and result visualization.
We describe some usage scenarios and the reference architecture for Search Computing systems.
Search Computing, software engineering, search engine, software architectures, Web information systems. Users are asking for queries that are more and more engaging for search engines, in several senses: Different classes of solutions have emerged to cover this information need: However, an entire class of information needs remains to be supported: For example, a user may wish to find a place where an interesting event occurs, that has good weather in a given period, with travel and accommodation options that match given budget and quality standards, maybe with close-by trekking opportunities.
This kind of search can be performed by separately looking for each individual piece of information and then mentally collating partial results, to get a combination of objects that satisfies the needs, but such procedure is cumbersome and error prone. Brambilla We define search computing applications [4], as the new class of applications aimed at responding to multi-domain queries, i.
The contribution of this paper is to provide an overview of search computing system, comprising a description of the user roles and of the system architecture and deployment strategy. Our work is coherent with the current trend in service-oriented architectures SOA.
A large set of languages and tools address service orchestration too e. The SeCo Project is focused on the integration of search services, i. Research projects with comparable goals include: Microsoft Symphony, which enables non-developers to build and deploy search-driven applications that combine their data and domain expertise with content from search engines[7]; Google Squared www.
All these proposals miss several significant features with respect to SeCo, including: Search Computing proposes a configurable software architecture that supports any multi-domain query. The main idea is to delegate domainneutral computation to a generic architecture, which is then configured with domaindependent information to obtain the desired Search Computing application.
Search computing applications have several distinguished aspects: Multi-domain queries are answered by selecting a subset of the data sources, by individually extracting their responses, and then by joining the responses thereby building combinations that collectively constitute the results of the query; this is a special case of Web service selection and orchestration, where novel algorithms are needed for joining results sets.
This implies that queries can be addressed only through complex orchestration algorithms, which must scale properly. This, together with the desired wide adoption of the applications by the user, requires scalability of the platform with respect to the number of users and of requests per user.
Finally, search computing applications are especially effective for improving the visibility and economical value of so-called long-tail content, which can be used to produce highly customized search solutions. This entails the need of extreme scalability of the platform with respect to the number of registered services.
Figure 1 shows an overview of the Search Computing framework, constituted by several sub-frameworks.
The service mart framework provides the scaffolding for wrapping and registering data sources. Data sources can be heterogeneous examples are: A service mart is defined as an abstraction e. Registration metadata describes the service mart signature and connection information.
A connection is defined as an input-output relationship between pairs of service marts that can be exploited for joining them e. The user framework provides functionality and storage for registering users, with different roles and capabilities. The query framework supports the management and storage of queries as first class citizens:Since such a long time is involved in establishing jhana, loosing the meditation object might mean it is too late to start again (in this lifetime).
Someone recently quoted an example in which a jhana-meditator (I think it was the Bodhisatta), while flying through the air, caught a glimpse of a naked woman. The partner-guided pain management training protocol was a three-session intervention conducted in patients’ homes that integrated educational information about cancer pain with systematic training of patients and partners in cognitive and behavioral pain coping skills.
Perhaps this difference in pass rates for the structural section is because therapists in private clinics have greater autonomy in establishing procedures for assessment and communication with parents, as well as greater control of space usage and equipment purchases, than those working in educational or medical settings.
Dec 08, · This could be an example of an establishing operation, because it makes the reinforcer more reinforcing. This type of behavior would be classified as functional behavior.
6) tell us what the discriminative stimulus is. The discriminative stimulus would be the signs of being hungry. 7) how does the discriminative stimulus affect the target.
Establishing discriminative control of responding using functional and alternative reinforcers during functional communication training. Functional communication training (FCT) is a popular. During the 's, social construction theorists questioned the validity of a medical model and argued that mental illness was socially and politically constructed (Szasz, ).
Biomedical explanations of mental illness as a disease similar to physical diseases were contested (Foucault, ).