Exploring Speech and Language Intervention for Preschoolers who are Deaf and Hard of Hearing: A Scoping Review

Purpose: The objective of this study was to summarize the extant literature on the effectiveness of speech and spoken language interventions for young children who are deaf or hard of hearing (DHH) to determine which types of speechlanguage interventions might be most effective, for which hearing levels and types of hearing losses, and at which dosage. Methods: Using a scoping review methodology, a database search identified 10,360 studies of which 16 met the requirements for inclusion. Data was extracted from each for analysis. Results: Due to the limited number of studies available, high variability in the nature of the studies, and insufficient details about the interventions and sample in many of the papers, fully addressing the study objectives was difficult. However, common themes included the positive effect of caregiver-centered approaches on language outcomes, the equal effectiveness of virtual versus in person intervention, the addition of other speech and language intervention techniques to Auditory-Verbal Therapy may improve outcomes, and the effect of speech and language therapy on auditory skills is unclear. Conclusions: This scoping review offers an initial step in analyzing and implementing evidence-based speech and language treatment protocols for children who are DHH. Keywords: Early intervention; auditory-verbal therapy; auditory-oral therapy; scoping review Acronyms: AVT = Auditory-Verbal Therapy; AVTs = auditory-verbal therapists; BAHAs = bone anchored hearing aids; CI = cochlear implant; DHH = deaf or hard of hearing; HA = hearing aid; MLU = mean length utterance; PCIT = Parent-Child Interaction Therapy; SLPs = speech-language pathologists; ToDs = teachers of the deaf Acknowledgements: The authors have no disclosures. This work was funded by the Ontario Ministry of Children, Community and Social Services. The authors would like to thank Marissa Tippet and Joyce Lam for their assistance with this review. Correspondence concerning this article should be addressed to: Hillary Ganek, PhD, The Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada. Email: [email protected]

Exploring speech and language intervention for preschoolers who are deaf and hard of hearing: A scoping review

Purpose: The objective of this study was to summarize the extant literature on the effectiveness of speech and spoken language interventions for young children who are deaf or hard of hearing (DHH) in order to determine which types of speech-language interventions might be most effective, for which hearing levels and types of hearing losses, and at which dosage. Methods: Using a scoping review methodology, a database search identified 10,360 studies of which 16 met the requirements for inclusion. Data was extracted from each for analysis. Results: Due to the limited number of studies available, high variability in the nature of the studies, and insufficient details about the interventions and sample in many of the papers, fully addressing the study objectives was difficult. However, common themes included the positive effect of caregiver-centered approaches on language outcomes, the equal effectiveness of virtual versus in person intervention, the addition of other speech and language intervention techniques to Auditory-Verbal Therapy may improve outcomes, and the effect of speech and language therapy on auditory skills is unclear. Conclusions: This scoping review offers an initial step in analyzing and implementing evidence-based speech and language treatment protocols for children who are DHH

Multi-level Autonomic Business Process Management

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38484-4_14Nowadays, business processes are becoming increasingly complex and heterogeneous. Autonomic Computing principles can reduce this complexity by autonomously managing the software systems and the running processes, their states and evolution. Business Processes that are able to be self-managed are referred to as Autonomic Business Processes (ABP). However, a key challenge is to keep the models of such ABP understandable and expressive in increasingly complex scenarios. This paper discusses the design aspects of an autonomic business process management system able to self-manage processes based on operational adaptation. The goal is to minimize human intervention during the process definition and execution phases. This novel approach, named MABUP, provides four well-defined levels of abstraction to express business and operational knowledge and to guide the management activity; namely, Organizational Level, Technological Level, Operational Level and Service Level. A real example is used to illustrate our proposal.Research supported by CAPES, CNPQ and Spanish Ministry of Science and Innovation.Oliveira, K.; Castro, J.; España Cubillo, S.; Pastor López, O. (2013). Multi-level Autonomic Business Process Management. En Enterprise, Business-Process and Information Systems Modeling. Springer. 184-198. doi:10.1007/978-3-642-38484-4_14S184198España, S., González, A., Pastor, Ó.: Communication Analysis: A Requirements Engineering Method for Information Systems. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 530–545. Springer, Heidelberg (2009)Ganek, A.G., Corbi, T.A.: The dawning of the autonomic computing era. IBM Systems Journal 42(1), 5–18 (2003)Gonzalez, A., et al.: Unity criteria for Business Process Modelling. In: Third International Conference on Research Challenges in Information Science, RCIS 2009, pp. 155–164 (2009)Greenwood, D., Rimassa, G.: Autonomic Goal-Oriented Business Process Management. Management, 43 (2007)Haupt, T., et al.: Autonomic execution of computational workflows. In: 2011 Federated Conference on Computer Science and Information Systems, FedCSIS, pp. 965–972 (2011)Kephart, J.O., Chess, D.M.: The vision of autonomic computing. IEEE (2003)Lee, K., et al.: Workflow adaptation as an autonomic computing problem. In: Proceedings of the 2nd Workshop on Workflows in Support of Large-Scale Science, New York, NY, USA, pp. 29–34 (2007)Mosincat, A., Binder, W.: Transparent Runtime Adaptability for BPEL Processes. In: Bouguettaya, A., Krueger, I., Margaria, T. (eds.) ICSOC 2008. LNCS, vol. 5364, pp. 241–255. Springer, Heidelberg (2008)Oliveira, K., et al.: Towards Autonomic Business Process Models. In: International Conference on Software Engineering and Knowledge, SEKE 2012, San Francisco, California, USA (2012)Rahman, M., et al.: A taxonomy and survey on autonomic management of applications in grid computing environments. Concurr. Comput.: Pract. Exper. 23(16), 1990–2019 (2011)Reijers, H.A., Mendling, J.: Modularity in process models: Review and effects. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 20–35. Springer, Heidelberg (2008)Rodrigues Nt., J.A., Monteiro Jr., P.C.L., de O. Sampaio, J., de Souza, J.M., Zimbrão, G.: Autonomic Business Processes Scalable Architecture. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 78–83. Springer, Heidelberg (2008)Strohmaier, M., Yu, E.: Towards autonomic workflow management systems. ACM Press (2006)Terres, L.D., et al.: Selection of Business Process for Autonomic Automation. In: 2010 14th IEEE International Enterprise Distributed Object Computing Conference, pp. 237–246 (October 2010)Tretola, G., Zimeo, E.: Autonomic internet-scale workflows. In: Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond, New York, NY, USA, pp. 48–56 (2010)Vedam, H., Venkatasubramanian, V.: A wavelet theory-based adaptive trend analysis system for process monitoring and diagnosis. In: Proceedings of the 1997 American Control Conference, vol. 1, pp. 309–313 (June 1997)Wang, Y., Mylopoulos, J.: Self-Repair through Reconfiguration: A Requirements Engineering Approach. In: 2009 IEEE/ACM International Conference on Automated Software Engineering, pp. 257–268 (November 2009)Yu, T., Lin, K.: Adaptive algorithms for finding replacement services in autonomic distributed business processes. In: Proceedings Autonomous Decentralized Systems, ISADS 2005, pp. 427–434 (2005

The potential use of service-oriented infrastructure framework to enable transparent vertical scalability of cloud computing infrastructure

Cloud computing technology has become familiar to most Internet users. Subsequently, there has been an increased growth in the use of cloud computing, including Infrastructure as a Service (IaaS). To ensure that IaaS can easily meet the growing demand, IaaS providers usually increase the capacity of their facilities in a vertical IaaS increase capability and the capacity for local IaaS amenities such as increasing the number of servers, storage and network bandwidth. However, at the same time, horizontal scalability is sometimes not enough and requires additional strategies to ensure that the large number of IaaS service requests can be met. Therefore, strategies requiring horizontal scalability are more complex than the vertical scalability strategies because they involve the interaction of more than one facility at different service centers. To reduce the complexity of the implementation of the horizontal scalability of the IaaS infrastructures, the use of a technology service oriented infrastructure is recommended to ensure that the interaction between two or more different service centers can be done more simply and easily even though it is likely to involve a wide range of communication technologies and different cloud computing management. This is because the service oriented infrastructure acts as a middle man that translates and processes interactions and protocols of different cloud computing infrastructures without the modification of the complex to ensure horizontal scalability can be run easily and smoothly. This paper presents the potential of using a service-oriented infrastructure framework to enable transparent vertical scalability of cloud computing infrastructures by adapting three projects in this research: SLA@SOI consortium, Open Cloud Computing Interface (OCCI), and OpenStack

QoS Challenges and Opportunities in Wireless Sensor/Actuator Networks

A wireless sensor/actuator network (WSAN) is a group of sensors and actuators that are geographically distributed and interconnected by wireless networks. Sensors gather information about the state of physical world. Actuators react to this information by performing appropriate actions. WSANs thus enable cyber systems to monitor and manipulate the behavior of the physical world. WSANs are growing at a tremendous pace, just like the exploding evolution of Internet. Supporting quality of service (QoS) will be of critical importance for pervasive WSANs that serve as the network infrastructure of diverse applications. To spark new research and development interests in this field, this paper examines and discusses the requirements, critical challenges, and open research issues on QoS management in WSANs. A brief overview of recent progress is given.Comment: 12 pages, 1 figure; revie

Communication Skills and Communicative Autonomy of Prelinguistic Deaf and Hard-of-Hearing Children: Application of a Video Feedback Intervention

© Copyright © 2020 Wadnerkar Kamble, Lam-Cassettari and James. Background and Aim: Evidence on the efficacy of parenting interventions to support communication development in deaf and hard-of-hearing children is emerging. In previous research, we showed that parental participation in a video feedback–based intervention enhanced parental self-esteem and emotional availability to their deaf and hard-of-hearing children. This paper investigates the impact of the intervention on the development of the children’s prelingual communication skills and autonomy. Evidence on the efficacy of parenting interventions to support communication development is warranted. Methods: Sixteen hearing parents with a prelingual deaf and hard-of-hearing child (Mage = 2.05 years, SD = 1.77) were recruited by self-selection from pediatric audiological services and randomly stratified into intervention-first and waiting-list groups. Families completed three sessions of Video Interaction Guidance in their homes. Designed for maximal inclusion, the sample comprised children with complex developmental and social needs. The primary inclusion criterion was the child’s prelingual status (<50 signed/spoken words), which was established using speech and language therapy reports. Child communicative autonomy was assessed from a 20 min free-play video recording using a gold standard measure for deaf and hard-of-hearing children (Tait) before and after the intervention. Results: A Mann–Whitney U test indicated no significant difference between the two groups. The groups were collated, and a Wilcoxon signed-rank test with time (pre-/post-intervention) as a repeating variable was run. A significant increase in children’s communicative autonomy (Z = −3.517, p < 0.0001, d = 0.62) and decrease in children’s no-responses (Z = −3.111, p < 0.005, d = 0.55) were seen. There was no significant difference in the overall number of turn-taking between the parent and child, indicating differences in the quality of the parent–child interactions, not the quantity. Conclusion: This study adds to the emerging evidence for parenting interventions with deaf and hard-of-hearing children. We hypothesize that the video feedback intervention with its focus on emotional availability created space for the children to show increased communicative autonomy during parent–child interactions. Communicative autonomy is a long-term predictor of communication and linguistic development in deaf and hard-of-hearing children, and its conceptual underpinning makes it a good early measure of relational agency. Results can inform wider interventions that focus on the quantity of the parent–child communication