Peer-to-peer support on Facebook for caregivers of children and youth with complex care needs in New Brunswick: An environmental scan

This environmental scan aimed to describe the purpose, use, and reach of health-related peer-to-peer support groups on Facebook for caregivers of children and youth with complex care needs in New Brunswick. A total of 3,104 searches on Facebook and consultations with thirty-two stakeholders led to the identification of forty-seven Facebook support groups (twenty-one active). Groups targeted a range of conditions, with autism and related intellectual disabilities appearing most frequently. Content analysis of posts indicated that groups were primarily used to exchange informational support. This study showed that Facebook-based peer-to-peer support groups are available to families of children and youth with complex care needs in the province. This work also lays a foundation for future scans of Facebook-based support groups in other Canadian provinces and beyond.La présente analyse du milieu visait à décrire l’objectif, l’utilisation et la portée des groupes de soutien entre pairs liés à la santé sur Facebook pour les personnes qui s’occupent d’enfants et de jeunes ayant des besoins de soins complexes au Nouveau-Brunswick. En tout, 3 104 recherches sur Facebook et des consultations auprès de 32 intervenants ont permis de repérer 47 groupes de soutien sur Facebook, dont 21 groupes actifs. Des groupes ciblaient un éventail de troubles; l’autisme et les déficiences intellectuelles connexes étaient ceux qui étaient les plus fréquents. Les analyses de contenu des messages ont révélé que les groupes étaient principalement utilisés pour échanger des informations de soutien. Selon cette étude, des groupes de soutien entre pairs sur Facebook sont offerts aux familles d’enfants et de jeunes ayant des besoins de soins complexes dans la province. De plus, ce travail jette les bases de futures analyses de groupes de soutien sur Facebook d’autres provinces canadiennes et d’ailleurs

Study and analysis of innovative network protocols and architectures

In the last years, some new paradigms are emerging in the networking area as inspiring models for the definition of future communications networks. A key example is certainly the Content Centric Networking (CCN) protocol suite, namely a novel network architecture that aims to supersede the current TCP/IP stack in favor of a name based routing algorithm, also introducing in-network caching capabilities. On the other hand, much interest has been placed on Software Defined Networking (SDN), namely the set of protocols and architectures designed to make network devices more dynamic and programmable. Given this complex arena, the thesis focuses on the analysis of these innovative network protocols, with the aim of exploring possible design flaws and hence guaranteeing their proper operation when actually deployed in the network. Particular emphasis is given to the security of these protocols, for its essential role in every wide scale application. Some work has been done in this direction, but all these solutions are far to be considered fully investigated. In the CCN case, a closer investigation on problems related to possible DDoS attacks due to the stateful nature of the protocol, is presented along with a full-fledged proposal to support scalable PUSH application on top of CCN. Concerning SDN, instead, we present a tool for the verification of network policies in complex graphs containing dynamic network functions. In order to obtain significant results, we leverage different tools and methodologies: on the one hand, we assess simulation software as very useful tools for representing the most common use cases for the various technologies. On the other hand, we exploit more sophisticated formal methods to ensure a higher level of confidence for the obtained results

eCPD Programme - Enhanced Learning.

This collection of papers (edited by Kevin Donovan) has been produced by the Association for Learning Technology (ALT) for LSIS. They are based on the summaries used by presenters during workshops at the 2009 launch of the eCPD Programme

Architectures for the Future Networks and the Next Generation Internet: A Survey

Networking research funding agencies in the USA, Europe, Japan, and other countries are encouraging research on revolutionary networking architectures that may or may not be bound by the restrictions of the current TCP/IP based Internet. We present a comprehensive survey of such research projects and activities. The topics covered include various testbeds for experimentations for new architectures, new security mechanisms, content delivery mechanisms, management and control frameworks, service architectures, and routing mechanisms. Delay/Disruption tolerant networks, which allow communications even when complete end-to-end path is not available, are also discussed

Psychosocial support for families of children with neurodisability who have or are considering a gastrostomy: the G-PATH mixed-methods study

Background Evidence reviews recommend consistent and structured support for children with neurodisability and their caregivers in care pathways in which professionals recommend a gastrostomy feeding tube. To date, and to our knowledge, no research has shown how these recommendations have been implemented. Objectives The objectives were to describe different exemplar models of psychosocial support and provide an estimate of their resources and costs. Design This was a mixed-methods study involving (1) a web-based survey, (2) a qualitative, collective case study of psychosocial support provision in four services and (3) an estimate of costs and preference through a willingness-to-pay study. Setting Four service configurations in different locations in England and Scotland. Participants Participants were staff who responded to a survey (n = 67) and interviewees (staff, n = 58; parents/children, n = 29). Findings Psychosocial support was rarely formalised or documented; it was delivered by different members of the multidisciplinary team, rather than by designated staff, and it was often integrated into appointments dominated by clinical care. Parents expressed different needs for support but reported little opportunity to discuss emotional aspects. Psychologists were not routinely involved and, in general, families were underserved by psychosocial services. Professionals constructed families’ need for psychosocial support in terms of their own roles and the management of risk. Mechanisms for integrating and delivering support were identified, including models of care that linked community and tertiary health services and integrated health and education through pooled budgets. Although generally valued by both staff and parents, peer-to-peer parent support was not consistently offered. Barriers included concerns about confidentiality and appropriately matching parents. Parents participated as members of a feeding committee at one site. Three analytical constructs described the provision of psychosocial support: ‘hidden work’, expressing emotional vulnerability and negotiations around risks and values. The cost-of-support study found that there was a mean of 2.25 appointments (n = 8 parents or carers) over the previous 12 months. The cost of health-care professionals’ time spent on providing psychosocial support ranged from £0.00 to £317.37 per child per year, with an average cost of £76.42, at 2017 prices. In the willingness-to-pay study the median rank of enhanced support, involving the opportunity to see a psychologist and parental peers, was significantly higher than that of usual care (n = 96 respondents, both carers and professionals, who completed rating of the service; p < 0.001). Limitations It proved difficult to disseminate a national survey, which resulted in a small number of returns, and to cost the provision of psychosocial support, which we designated as ‘hidden work’, owing to the lack of recording in clinical systems. Moreover, estimates were based on small numbers. Conclusions Parent interviews and the willingness-to-pay study demonstrated a preference for enhanced psychosocial support. The study suggests that there is a need for services to formally assess families’ needs for psychosocial support to ensure that provision is planned, costed and made explicit in care pathways. Personalised interventions may assist with the targeting of resources and ensuring that there is an appropriate balance in focus on both clinical care and psychosocial support needs in relation to and following treatment. Future work More work is needed to develop tools to assess families’ needs for psychosocial support and the effectiveness of training packages to strengthen team competency in providing support. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 38. See the NIHR Journals Library website for further project information

Internet of Things and Intelligent Technologies for Efficient Energy Management in a Smart Building Environment

Internet of Things (IoT) is attempting to transform modern buildings into energy efficient, smart, and connected buildings, by imparting capabilities such as real-time monitoring, situational awareness and intelligence, and intelligent control. Digitizing the modern day building environment using IoT improves asset visibility and generates energy savings. This dissertation provides a survey of the role, impact, and challenges and recommended solutions of IoT for smart buildings. It also presents an IoT-based solution to overcome the challenge of inefficient energy management in a smart building environment. The proposed solution consists of developing an Intelligent Computational Engine (ICE), composed of various IoT devices and technologies for efficient energy management in an IoT driven building environment. ICE’s capabilities viz. energy consumption prediction and optimized control of electric loads have been developed, deployed, and dispatched in the Real-Time Power and Intelligent Systems (RTPIS) laboratory, which serves as the IoT-driven building case study environment. Two energy consumption prediction models viz. exponential model and Elman recurrent neural network (RNN) model were developed and compared to determine the most accurate model for use in the development of ICE’s energy consumption prediction capability. ICE’s prediction model was developed in MATLAB using cellular computational network (CCN) technique, whereas the optimized control model was developed jointly in MATLAB and Metasys Building Automation System (BAS) using particle swarm optimization (PSO) algorithm and logic connector tool (LCT), respectively. It was demonstrated that the developed CCN-based energy consumption prediction model was highly accurate with low error % by comparing the predicted and the measured energy consumption data over a period of one week. The predicted energy consumption values generated from the CCN model served as a reference for the PSO algorithm to generate control parameters for the optimized control of the electric loads. The LCT model used these control parameters to regulate the electric loads to save energy (increase energy efficiency) without violating any operational constraints. Having ICE’s energy consumption prediction and optimized control of electric loads capabilities is extremely useful for efficient energy management as they ensure that sufficient energy is generated to meet the demands of the electric loads optimally at any time thereby reducing wasted energy due to excess generation. This, in turn, reduces carbon emissions and generates energy and cost savings. While the ICE was tested in a small case-study environment, it could be scaled to any smart building environment

Availability, Integrity, and Confidentiality for Content Centric Network internet architectures

The Internet as we know it today, despite being ``the result of a series of accidents of choices'' in Prof. Jon Crowcroft's words, has undoubtedly been an amazing success story. However, it has been constantly challenged by the demands of the overwhelming evolution of data traffic types, non-functional needs of applications and users, and device diversity. The phrase ``future internet architecture'' can be interpreted as referring to a revised set of design principles. As Dr David Clark rightfully suggested, we need to ``allow for the future in the face of the present''. Content Centric Networking (CCN) is one of the candidates for a future internet architecture. Security is one of the most significant considerations while designing a future internet architecture. Availability, Integrity, and Confidentiality (AIC) are considered the three most crucial components of security: 1) availability is the assurance of continuous, reliable, and uninterrupted access to the information by authorized people, 2) integrity is the preservation of information and prevention of any change in it caused via accident or malicious intent, and 3) confidentiality is the ability to keep the information secret from unintended audience, intruders, and adversaries. This thesis discusses AIC related security threats and corresponding remedies for Named Data Networking (NDN) which is a promising example of CCN. It also presents a system dynamics modelling approach to bridge the gap between the technical solutions and business strategy by quantifying some of the qualitative variables salient to technology architects, policymakers, lawmakers, regulators, and internet service providers for the design of a future-proof internet architecture

Quality of Service improvements for real time multimedia applications using next generation network architectures and blockchain in Internet Service Provider cooperative scenario

Real time communications are becoming part of our daily life, requiring constrained requisites with the purpose of being enjoyed in harmony by end users. The factors ruling these requisites are Quality of Service parameters of the users' Internet connections. Achieving a satisfactory QoS level for real time communications depends on parameters that are strongly influenced by the quality of the network connections among the Internet Service Providers, which are located in the path between final users and Over The Top service providers that are supplying them with real time services. Final users can be: business people having real time videoconferences, or adopting crytpocurrencies in their exchanges, videogamers playing online games together with others residing in other countries, migrants talking with their relatives or watching their children growing up in their home countries, people with disabilities adopting tecnologies to help them, doctors performing remote surgeries, manufacturers adopting augmented reality devices to perform dangerous tasks. Each of them performing their daily activities are requiring specific QoS parameters to their ISPs, that nowadays seem to be unable to provide them with a satisfactory QoS level for these kinds of real time services. Through the adoption of next generation networks, such as the Information Centric Networking, it would be possible to overcome the QoS problems that nowadays are experienced. By adopting Blockchain technologies, in several use cases, it would be possible to improve those security aspects related to the non-temperability of information and privacy. I started this thesis analyzing next generation architectures enabling real time multimedia communications. In Software Defined Networking, Named Data Networking and Community Information Centric Networking, I highlighted potential approaches to solve QoS problems that are affecting real time multimedia applications. During my experiments I found that applications able to transmit high quality videos, such as 4k or 8k videos, or to directly interact with devices AR/VR enabled are missing for both ICN approaches. Then I proposed a REST interface for the enforcing of a specific QoS parameter, the round trip time (RTT) taking into consideration the specific use case of a game company that connects with the same telecommunication company of the final user. Supposing that the proposed REST APIs have been deployed in the game company and in the ISP, when one or more users are experiencing lag, the game company will try to ask the ISP to reduce the RTT for that specific user or that group of users. This request can be done by performing a call to a method where IP address(es) and the maximum RTT desired are passed. I also proposed other methods, through which it would be possible to retrieve information about the QoS parameters, and exchange, if necessary, an exceeding parameter in change of another one. The proposed REST APIs can also be used in more complex scenarios, where ISPs along the path are chained together, in order to improve the end to end QoS among Over The Top service provider and final users. To store the information exchanged by using the proposed REST APIs, I proposed to adopt a permissioned blockchain, analizying the ISPs cooperative use case with Hyperledger Fabric, where I proposed the adoption of the Proof of Authority consensus algorithm, to increase the throughput in terms of transactions per second. In a specific case that I examined, I am proposing a combination of Information Centric Networking and Blockchain, in an architecture where ISPs are exchanging valuable information regarding final Users, to improve their QoS parameters. I also proposed my smart contract for the gaming delay use case, that can be used to rule the communication among those ISPs that are along the path among OTT and final users. An extension of this work can be done, by defining billing costs for the QoS improvements