Sustainability leading to building intelligence - knowledge sharing and transfer

A sustainable building regards energy use and greenhouse gas emissions as major components, and its sustainability is within a larger context of benefits about productivity, efficiency, health and safety, and serviceability. An intelligent building requires a quality building automation system design which increases productivity, reduces operational costs and protects the people using the facilities. Council House 2 (CH2) is claimed to change the way Australia approaches ecologically sustainable design and construction. Its building intelligence can be evaluated by energy and water efficiency and quality of indoor environments that elevate productivity and lower operational costs. This paper uses triangulation techniques, based upon the "Building Intelligence Quotient" by the Continental Automated Buildings Association (CABA) and "Green Star Rating" by the Green Building Council of Australia (GBCA), to cross-verify CH2’s sustainability and intelligence. The author examines 18 design reports and 10 research papers to case-study the effectiveness and efficiency of CH2 and concludes that it is not just another sustainable construction but an intelligent building per se. By leveraging the existing knowledge base of green rating, building professions can measure the intelligence without "reinventing the wheel".

From design for ecologically sustainability to facilities management through building intelligence and knowledge management

Ecological sustainability basically concerns environmental protection and social benefits. An ecologically sustainable development is based upon reduced energy usage, increased efficiency, and upheld social responsibility; and it should be properly evaluated by financial, environmental and social aspects. Council House 2 (CH2) is claimed to change the way of Australia approaches in ecologically sustainable design and construction. This is the ‘Six-Star design and built’ green star facility assessed by the Green Building Council of Australia (GBCA), and the 10-story city council building was completed and opened in 2006, totally A$11.3 million was invested for the sustainability features. CH2 protects the environment, when it compares with the old council house, and is expected to reduce electricity consumption by 85%; reduce gas consumption by 87%; produce only 13% of the emissions; and reduce water mains supply by 72%. In this paper, the author examines its design reports and the researches paper, in the form of knowledge base, to case-study how the sustainability, effectiveness and efficiency of CH2 work. By leveraging the existing CH2 sustainability knowledge, design and building professions can learn and imitate it in further ‘green’ design without ‘re-inventing the wheel’; facilities executives can also use the existing knowledge to identify steps to boost up the facilities’ operating efficiency.

Good lives sexual offender treatment for mentally disordered offenders

Purpose – The main aim of this paper is to describe the content, structure and preliminary evaluation of a new Good Lives sexual offender treatment group (SOTG) for male mentally disordered offenders.

Design/methodology/approach – As evaluation and work on the SOTG is necessarily ongoing, case study descriptions of each patient who attended the SOTG and of their progress throughout SOTG are described.

Findings – Overall, the case study progress reports suggest that mentally disordered male patients made some notable progress on SOTG despite their differential and complex needs. In particular, attention to each patient's life goals and motivators appeared to play a key role in promoting treatment engagement. Furthermore, patients with lower intelligence quotient and/or indirect pathways required additional support to understand the links between the Good Lives Model (GLM) and their own risk for sexual offending.

Research limitations/implications – Further evaluations of SOTG groups, that incorporate higher numbers of participants and adequate control groups, are required before solid conclusions and generalisations can be made.

Practical implications – Practitioners should consider providing additional support to clients when implementing any future SOTGs for mentally disordered patients.

Originality/value – This is the first paper to outline and describe implementation of the GLM in the sexual offender treatment of mentally disordered male patients group format. As such, it will be of interest to any professionals involved in the facilitation of sexual offender treatment within this population.

An examination of the influence of maternal depression trajectories on child cognitive development and adolescent psychotic experiences

 This thesis investigated trajectories of maternal depression over time, and their influence on offspring's cognitive development in childhood and subsequent risk of psychotic experiences in early adolescence. Offspring’s IQ was also examined as a potential mediator of the relationship between maternal depression and offspring’s risk of psychotic experiences.

A review of vulnerability and risks for schizophrenia: beyond the two hit hypothesis

Schizophrenia risk has often been conceptualized using a model which requires two hits in order to generate the clinical phenotype-the first as an early priming in a genetically predisposed individual and the second a likely environmental insult. The aim of this paper was to review the literature and reformulate this binary risk-vulnerability model. We sourced the data for this narrative review from the electronic database PUBMED. Our search terms were not limited by language or date of publication. The development of schizophrenia may be driven by genetic vulnerability interacting with multiple vulnerability factors including lowered prenatal vitamin D exposure, viral infections, smoking intelligence quotient, social cognition cannabis use, social defeat, nutrition and childhood trauma. It is likely that these genetic risks, environmental risks and vulnerability factors are cumulative and interactive with each other and with critical periods of neurodevelopmental vulnerability. The development of schizophrenia is likely to be more complex and nuanced than the binary two hit model originally proposed nearly thirty years ago. Risk appears influenced by a more complex process involving genetic risk interfacing with multiple potentially interacting hits and vulnerability factors occurring at key periods of neurodevelopmental activity, which culminate in the expression of disease state. These risks are common across a number of neuropsychiatric and medical disorders, which might inform common preventive and intervention strategies across non-communicable disorders.

Wikipedia model for collective intelligence : a review of information quality

Online information seekers increasingly utilise the online encyclopaedia Wikipedia as a key reference source. Wikipedia's special feature is that it is based on the collective intelligence (CI) of lay citizens. Its consensus-building participatory knowledge-building processes replace traditional encyclopaedia processes founded on the knowledge of experts and gatekeeping practices. However there have been reports of concerns with the level of information quality provided by Wikipedia articles. This paper explores information quality for Wikipedia theoretically. First, it conceptualises the Wikipedia model of knowledge production and second, it analyses information quality for the model. Finally, the paper recommends some improvements for the model and discusses other implications for knowledge management theory and practice.

Special issue : Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.

Consensus building in a local context for the AHP-GDM with the individual numerical scale and prioritization method

The methodology for selecting the individual numerical scale and prioritization method has recently been presented and justified in the analytic hierarchy process (AHP). In this study, we further propose a novel AHP-group decision making (GDM) model in a local context (a unique criterion), based on the individual selection of the numerical scale and prioritization method. The resolution framework of the AHP-GDM with the individual numerical scale and prioritization method is first proposed. Then, based on linguistic Euclidean distance (LED) and linguistic minimum violations (LMV), the novel consensus measure is defined so that the consensus degree among decision makers who use different numerical scales and prioritization methods can be analyzed. Next, a consensus reaching model is proposed to help decision makers improve the consensus degree. In this consensus reaching model, the LED-based and LMV-based consensus rules are proposed and used. Finally, a new individual consistency index and its properties are proposed for the use of the individual numerical scale and prioritization method in the AHP-GDM. Simulation experiments and numerical examples are presented to demonstrate the validity of the proposed model.