Uncertain information combination for decision making in smart grid BDI agent systems

In a smart grid SCADA (supervisory control and data acquisition) system, sensor information (e.g. temperature, voltage, frequency, etc.) from heterogeneous sources can be used to reason about the true system state (e.g. faults, attacks, etc.). Before this is possible, it is necessary to combine information in a consistent way. However, information may be uncertain or incomplete while the sensors may be unreliable or conflicting. To address these issues, we apply Dempster-Shafer (DS) theory to model the information from each source as a mass function. Each mass function is then discounted to reflect the reliability of the source. Finally, relevant mass functions (after evidence propagation) are combined using a context-dependent combination rule to produce a single combined mass function used for reasoning. We model a smart grid SCADA system in the belief-desire-intention (BDI) multi-agent framework to demonstrate how our approach can be used to handle the combined uncertain sensor information. In particular, the combined mass function is transformed into a probability distribution for decision-making. Based on this result, the agent can determine which state is most plausible and insert a corresponding AgentSpeak belief atom into its belief base. These beliefs about the environment affect the selection of predefined plans, which in turn determine how the agent will behave. We also identify conditions when a combination should occur to ensure the reactiveness of the agent

A Beautiful Thing: A Service Learning Partnership Develops

This roundtable presents multiple perspectives on a multi-year partnership between an urban school and its university neighbor. Building and nurturing a thriving mutually beneficial partnership between an urban Pre-K-8 school and its neighboring university is, as the principal of Cesar Batalla School often says, “a beautiful thing.” Cesar Batalla, serving 800 students and families from a multilingual, multiethnic community in a low-income neighborhood, is located a stone’s throw from a mid-sized suburban, private university that attracts undergraduate and graduate students with little personal firsthand experience with racial, ethnic and linguistic diversity, or of poverty and its challenges. “Geographical neighbors, yet worlds apart” would aptly describe the university school juxtaposition before we embarked upon our partnership. Transforming a coincidental proximity into a deep partnership has been a journey of many discoveries

Designing mini-games as micro-learning resources for professional development in multi-cultural organisations

The need for self-directed learning for professional development drives an increase in the delivery of easy to use {\textquoteleft}just-in-time{\textquoteright} resources that respond to the often-dynamic workplace and work culture. This is especially important in the era of globalisation, when the number of employees, who are culturally diverse, increases each year. Most medium and large companies operate in an international environment, and this is due to the expansion of international enterprises with branches in various countries that requires cooperation with foreign clients, and the employment of foreign nationals in their companies. In order to guarantee the effectiveness of workings in companies, there is a need for continuous education in the aspect of the cultural diversity. This paper explores micro-learning, which focuses on delivering brevity through bite-sized learning units or short-term learning activities. Learning content in this case can take many forms, from text to interactive multimedia. These contents are often created on demand, which can sometimes be less contextualised and pedagogically informed. Based on a case study of the need for training on cultural risks in multi-cultural organisations, this paper focuses on the design of mini-games as playful learning resources for supporting an online learning platform that has been developed as a response to this training need. Fifteen mini-games have been developed to complement eight main topics related to cultural risks and to promote reflection, practice and the self-assessment of knowledge acquired through the platform. The main eight topics represent the risk areas identified that include cultural awareness, understanding different cultures, communication, learning styles, hierarchy, team-working, qualities in the working place, and stereotypes through a survey carried out with personnel (n=154) from multi-cultural organisations across five countries - Cyprus, Italy, Latvia, Poland, and the UK. The discussions include unpacking the mapping of pedagogical and gameful design considerations based on Arnab et al.{\textquoteleft}s (2015) Learning Mechanics-Game Mechanics Mapping (LMGM) model. The paper also discusses the findings from the testing of the online platform across 5 countries including 166 participants (two-step testing). The insights provided will be valuable to researchers, practitioners, designers, and developers of micro-learning resources

Silac mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function

Stable isotope labeling by amino acids in cell culture (SILAC) has become a versatile tool for quantitative, mass spectrometry (MS)-based proteomics. Here, we completely label mice with a diet containing either the natural or the 13C6-substituted version of lysine. Mice were labeled over four generations with the heavy diet, and development, growth, and behavior were not affected. MS analysis of incorporation levels allowed for the determination of incorporation rates of proteins from blood cells and organs. The F2 generation was completely labeled in all organs tested. SILAC analysis from various organs lacking expression of β1 integrin, β-Parvin, or the integrin tail-binding protein Kindlin-3 confirmed their absence and disclosed a structural defect of the red blood cell membrane skeleton in Kindlin-3-deficient erythrocytes. The SILAC-mouse approach is a versatile tool by which to quantitatively compare proteomes from knockout mice and thereby determine protein functions under complex in vivo conditions

Can promoting awareness of fetal movements and focussing interventions reduce fetal mortality? - A stepped wedge cluster randomised trial (AFFIRM)

BACKGROUND: In 2013, the stillbirth rate in the UK was 4.2 per 1000 live births, ranking 24th out of 49 high-income countries, with an annual rate of reduction of only 1.4% per year. The majority of stillbirths occur in normally formed infants, with (retrospective) evidence of placental insufficiency the most common clinical finding. Maternal perception of reduced fetal movements (RFM) is associated with placental insufficiency and increased risk of subsequent stillbirth.This study will test the hypothesis that the introduction of a package of care to increase women's awareness of the need for prompt reporting of RFM and standardised management to identify fetal compromise with timely delivery in confirmed cases, will reduce the rate of stillbirth. Following the introduction of a similar intervention in Norway the odds of stillbirth fell by 30%, but the efficacy of this intervention (and possible adverse effects and implications for service delivery) has not been tested in a randomised trial. METHODS: We describe a stepped-wedge cluster trial design, in which participating hospitals in the UK and Ireland will be randomised to the timing of introduction of the care package. Outcomes (including the primary outcome of stillbirth) will be derived from detailed routinely collected maternity data, allowing us to robustly test our hypothesis. The degree of implementation of the intervention will be assessed in each site. A nested qualitative study will examine the acceptability of the intervention to women and healthcare providers and identify process issues including barriers to implementation. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Scotland A Research Ethics Committee (Ref 13/SS/0001) and from Research and Development offices in participating maternity units. The study started in February 2014 and delivery of the intervention completed in December 2016. Results of the study will be submitted for publication in peer-reviewed journals and disseminated to local investigating sites to inform education and care of women presenting with RFM. TRIAL REGISTRATION NUMBER: www.clinicaltrials.gov NCT01777022. VERSION: Protocol Version 4.2, 3 February 2017.</p

Dynamics of sputum conversion during effective tuberculosis treatment: A systematic review and meta-analysis.

BACKGROUND: Two weeks' isolation is widely recommended for people commencing treatment for pulmonary tuberculosis (TB). The evidence that this corresponds to clearance of potentially infectious tuberculous mycobacteria in sputum is not well established. This World Health Organization-commissioned review investigated sputum sterilisation dynamics during TB treatment. METHODS AND FINDINGS: For the main analysis, 2 systematic literature searches of OvidSP MEDLINE, Embase, and Global Health, and EBSCO CINAHL Plus were conducted to identify studies with data on TB infectiousness (all studies to search date, 1 December 2017) and all randomised controlled trials (RCTs) for drug-susceptible TB (from 1 January 1990 to search date, 20 February 2018). Included articles reported on patients receiving effective treatment for culture-confirmed drug-susceptible pulmonary TB. The outcome of interest was sputum bacteriological conversion: the proportion of patients having converted by a defined time point or a summary measure of time to conversion, assessed by smear or culture. Any study design with 10 or more particpants was considered. Record sifting and data extraction were performed in duplicate. Random effects meta-analyses were performed. A narrative summary additionally describes the results of a systematic search for data evaluating infectiousness from humans to experimental animals (PubMed, all studies to 27 March 2018). Other evidence on duration of infectiousness-including studies reporting on cough dynamics, human tuberculin skin test conversion, or early bactericidal activity of TB treatments-was outside the scope of this review. The literature search was repeated on 22 November 2020, at the request of the editors, to identify studies published after the previous censor date. Four small studies reporting 3 different outcome measures were identified, which included no data that would alter the findings of the review; they are not included in the meta-analyses. Of 5,290 identified records, 44 were included. Twenty-seven (61%) were RCTs and 17 (39%) were cohort studies. Thirteen studies (30%) reported data from Africa, 12 (27%) from Asia, 6 (14%) from South America, 5 (11%) from North America, and 4 (9%) from Europe. Four studies reported data from multiple continents. Summary estimates suggested smear conversion in 9% of patients at 2 weeks (95% CI 3%-24%, 1 single study [N = 1]), and 82% of patients at 2 months of treatment (95% CI 78%-86%, N = 10). Among baseline smear-positive patients, solid culture conversion occurred by 2 weeks in 5% (95% CI 0%-14%, N = 2), increasing to 88% at 2 months (95% CI 84%-92%, N = 20). At equivalent time points, liquid culture conversion was achieved in 3% (95% CI 1%-16%, N = 1) and 59% (95% CI 47%-70%, N = 8). Significant heterogeneity was observed. Further interrogation of the data to explain this heterogeneity was limited by the lack of disaggregation of results, including by factors such as HIV status, baseline smear status, and the presence or absence of lung cavitation. CONCLUSIONS: This systematic review found that most patients remained culture positive at 2 weeks of TB treatment, challenging the view that individuals are not infectious after this interval. Culture positivity is, however, only 1 component of infectiousness, with reduced cough frequency and aerosol generation after TB treatment initiation likely to also be important. Studies that integrate our findings with data on cough dynamics could provide a more complete perspective on potential transmission of Mycobacterium tuberculosis by individuals on treatment. TRIAL REGISTRATION: Systematic review registration: PROSPERO 85226

Context-dependent combination of sensor information in Dempster–Shafer theory for BDI

© 2016, The Author(s). There has been much interest in the belief–desire–intention (BDI) agent-based model for developing scalable intelligent systems, e.g. using the AgentSpeak framework. However, reasoning from sensor information in these large-scale systems remains a significant challenge. For example, agents may be faced with information from heterogeneous sources which is uncertain and incomplete, while the sources themselves may be unreliable or conflicting. In order to derive meaningful conclusions, it is important that such information be correctly modelled and combined. In this paper, we choose to model uncertain sensor information in Dempster–Shafer (DS) theory. Unfortunately, as in other uncertainty theories, simple combination strategies in DS theory are often too restrictive (losing valuable information) or too permissive (resulting in ignorance). For this reason, we investigate how a context-dependent strategy originally defined for possibility theory can be adapted to DS theory. In particular, we use the notion of largely partially maximal consistent subsets (LPMCSes) to characterise the context for when to use Dempster’s original rule of combination and for when to resort to an alternative. To guide this process, we identify existing measures of similarity and conflict for finding LPMCSes along with quality of information heuristics to ensure that LPMCSes are formed around high-quality information. We then propose an intelligent sensor model for integrating this information into the AgentSpeak framework which is responsible for applying evidence propagation to construct compatible information, for performing context-dependent combination and for deriving beliefs for revising an agent’s belief base. Finally, we present a power grid scenario inspired by a real-world case study to demonstrate our work