Acute muscle dystonia resulting from medication error: a case report

Acute Muscle Dystonia (AMD) due to medication error is rarely reported in the literature. We are reporting a case of adverse drug reaction due to a single dose of haloperidol. Patient was free from any psychiatric illness and still he developed AMD with use of haloperidol because of medication error. The patient recovered completely from AMD symptoms in one hour after receiving the treatment. This case report intends to improve the awareness among clinicians to be cautious while writing the prescriptions

Towards the semantic interpretation of personal health messages from social media

Recent attempts have been made to utilise social media platforms, such as Twitter, to provide early warning and monitoring of health threats in populations (i.e. Internet biosurveillance). It has been shown in the literature that a system based on keyword matching that exploits social media messages could report flu surveillance well ahead of the Centers of Disease Control and Prevention (CDC). However, we argue that a simple keyword matching may not capture semantic interpretation of social media messages that would enable healthcare experts or machines to extract and leverage medical knowledge from social media messages. In this paper, we motivate and describe a new task that aims to tackle this technology gap by extracting semantic interpretation of medical terms mentioned in social media messages, which are typically written in layman’s language. Achieving such a task would enable an automatic integration between the data about direct patient experiences extracted from social media and existing knowledge from clinical databases, which leads to advances in the use of community health experiences in healthcare services.The authors gratefully acknowledge funding from the EPSRC (grant number EP/M005089/1)This is the author accepted manuscript. The final version is available from ACM via http://dx.doi.org/10.1145/2811271.281127

Artificial rainmaking by laser system

It is shown in this paper how a pulse laser system could create artificial rain. When a pulse is sent up in the atmosphere, depending on its energy, it will break the bonds (dissociate) of major species N2 and O 2 and form excited N and O. These excited atoms are very unstable and immediately react to form NO and O3. These reactions are endothermic and absorb a large amount of heat from the surrounding. As a result, cooling will be produced which will form tiny drops of water. These tiny drops of water will grow bigger and create rain. Simultaneously N2 and O2 will be ionized to form N2*. O2* and O 2 (electrons will get attached to O2). These precursor ions will undergo several reactions and become big clustered ions. These big ions will act as seed which will lead to precipitation and rain. Low temperature created by dissociation will further help grow bigger ions fast and produce rain. Experimental work is necessary to determine the characteristics of laser systems that could be utilized

Office Discipline Referrals: What they Show Us about PBIS Implementation

Currently, Georgia’s DOE has a strategic plan supporting the implementation of schoolwide Positive Behavioral Interventions and Supports (PBIS) to help all schools in Georgia achieve a “preventative and proactive system of addressing discipline problems that includes fair and consistent discipline practices” (GaDOE, 2014, p. 1). One way to evaluate the effectiveness of schoolwide PBIS implementation is to examine Office Discipline Referral (ODR) data. Relevant literature defines ODRs as “any instance where a student is referred to the principal’s office for any school rule violation that was more serious than could be handled immediately” (as cited in Clonan, McDougal, Clark & Davison, 2007, p. 21). ODR data can help school staff better understand student disciplinary issues and make informed decisions regarding the effectiveness of various interventions within the PBIS framework. Studies have found that increases in ODRs within schools reveal various patterns about a “problematic school climate” and the necessity for school-wide supports (Irvin, Tobin, Sprague, Sugai & Vincent, 2004, p. 138). Thus, understanding the fluxuations in ODR data is crucial for schools implementing PBIS. The current study examines the relationship between ODRs and schoolwide PBIS implementation. Participants were from three high-need, low-resource school districts, which have been implementing PBIS for varying amounts of time. Part of the purpose for PBIS implementation in these school districts was to decrease problematic student behavior, which could be reflected in a reduction in the median number of ODRs per student in each school. However, results show that with consistent enrollment numbers in each district, the median number of ODRs increased in each district from 2015-16 to 2016-17. Presenters will discuss possible contributants (such as: time implementing, fidelity levels, and socio-cultural factors) to these patterns and potential ways to improve PBIS implementation to decrease office discipline referrals. References: Clonan, S.M., McDougal, J.L., Clark, K., & Davison, S. (2007). Use of office discipline referrals in school-wide decision making: a practical example. Psychology in the Schools, 44(1), 19. Georgia Department of Education. (2014). Positive behavioral interventions and supports of Georgia: the strategic plan. Retrieved from: http://www.gadoe.org/Curriculum-Instruction-and-Assessment/Special-Education-Services/Documents/PBIS/2014-15/GaDOE%20PBIS%20Strategic%20Plan.pdf Irvin, L. K., Tobin, T. J., Sprague, J. R., Sugai, G., & Vincent, C. G. (2004). Validity of office discipline referral measures as indices of school-wide behavioral status and effects of school-wide behavioral interventions. Journal Of Positive Behavior Interventions, 6(3), 131-147. Tobin, T., & Sugai, G. (1999). Using sixth grade school records to predict violence, chronic discipline problems, and high school outcomes. Journal of Emotional and Behavioral Disorders, 7, 40–53