A Multi-dimensional Subcontractor Evaluation Framework for Nonconventional Housing Systems

For any building construction project, it is crucial at the outset to select an appropriate subcontractor to achieve the objectives in terms of affordability and quality. But selection of a competent subcontractor becomes even more important when it comes to housing-construction with non-conventional materials and technologies, as their implementation requires unique skills and proficiencies. In the first phase of this research, the subcontractor selection attributes were identified. Apart from literature review, divergent stakeholders of Indian real-estate value-chain were also surveyed for identification of subcontractor selection attributes. While some of the identified attributes are generic, others are specific towards selection of subcontractors for building construction with new materials and technologies. However, the identified attributes can be broadly classified into five categories: “technical experience”, “financial competency”, “resource adequacy”, “job quality and safety” and “local and other factors”. In the next phase of the research, a multidimensional framework was developed using Analytical Hierarchy Process (AHP) for evaluation of subcontractors based on the identified attributes. The developed framework can also be used as a decision making protocol for selection of subcontractors for non-conventional building construction. The developed framework was validated by implementing it for subcontractor selection in a residential project site where emerging construction technologies were being implemented

Prioritizing BIM Capabilities of an Organization: An Interpretive Structural Modeling Analysis

The Indian Architectural Engineering and Construction sector is grappling with the adoption of BIM as is evident from a relatively low level of adoption. While there have been sufficient number of successful (and unsuccessful) project level implementations of BIM in India, the maturity level of the overall industry and its constituents remains relatively low. One of the challenges faced, especially at the organizational level, is an understanding and development of the organization's BIM capabilities. These capabilities need attention in terms of their effectiveness and hierarchy of implementation in order to overcome the challenges of adoption and increasing maturity levels in BIM usage. The inability to identify crucial BIM capabilities is one of the primary barriers to ineffective BIM implementation and slow adoption in India. The aim of this study is to investigate the dynamics of different BIM capabilities and to understand how these capabilities can be represented as a set of interrelated elements by adopting Interpretive Structure Modeling (ISM) technique Accordingly, a clear understanding regarding the nature of each BIM capability is developed that will help the organizations to plan the strategic implementation of BIM on any project and gain systematic, logical and productive results. Through the three-phased study, it was concluded that BIM capabilities namely visualization, energy and environment analysis, structural analysis, MEP system modelling, constructability analysis, and BIM for as-built were found to be the independent BIM capabilities having strong driving power but weak dependence power. Facilities management is a dependent BIM capability with weak driving power but strong dependence power. This study provides a roadmap to BIM implementers by highlighting the driving and dependence power of each BIM capability which is deemed useful for enhanced delivery of construction projects. Significant theoretical and practical implications are envisioned for both researchers and project managers through the findings of this study

Aging display's effect on interpretation of digital pathology slides

It is our conjecture that the variability of colors in a pathology image effects the interpretation of pathology cases, whether it is diagnostic accuracy, diagnostic confidence, or workflow efficiency. In this paper, digital pathology images are analyzed to quantify the perceived difference in color that occurs due to display aging, in particular a change in the maximum luminance, white point, and color gamut. The digital pathology images studied include diagnostically important features, such as the conspicuity of nuclei. Three different display aging models are applied to images: aging of luminance & chrominance, aging of chrominance only, and a stabilized luminance & chrominance (i.e., no aging). These display models and images are then used to compare conspicuity of nuclei using CIE deltaE2000, a perceptual color difference metric. The effect of display aging using these display models and images is further analyzed through a human reader study designed to quantify the effects from a clinical perspective. Results from our reader study indicate significant impact of aged displays on workflow as well as diagnosis as follow. As compared to the originals (no-aging), slides with the effect of aging simulated were significantly more difficult to read (p-value of 0.0005) and took longer to score (p-value of 0.02). Moreover, luminance+chrominance aging significantly reduced inter-session percent agreement of diagnostic scores (p-value of 0.0418)

The intellectual capital of schools: analysing government policy statements on school improvement in light of a new theorization

"Ideology without competence is a dangerous vice. But competence without ideology is a limited virtue." (D. Miliband, Minister of State for School Standards, DfES).Opportunistic attempts have been made by successive governments to establish - some would say impose - sets of criteria against which the effectiveness of not-for-profit organisations like schools can be gauged. Most have been subjective: the extent of staff involvement in decision making, the appropriateness of the leadership shown by senior managers, the percentage of inspected classes regarded as ‘good’, and so on. Lately, UK government rhetoric, using a lexicon borrowed from Business and Economics, suggests a willingness to move to new systems of reportage; centred on improvement rather than blame, on critical friendship more than on confrontation. There appears no longer to be the puritanical tendency among policy-makers to adopt measures that cause pain in the belief that they alone can be right, but do they constitute (as critics like Thrupp suggest) a random collection of well-intentioned but poorly theorised policies, or can they be cogently conceptualised into a whole? Previously, improvement measures judged schooling simply, in terms of external stakeholder outcomes, but failed to capture the essence of what it was to be (or what it took to become) a successful improving school. This paper suggests that current government policy, whether knowingly or not, is essentially describing improvement from a different perspective - an internal perspective of ‘Intellectual Capital’. The paper knits together government policy statements on school improvement with a re-conceptualisation of Intellectual Capital specifically designed for schools, offering an imposed coherence to government policy that could potentially change the way we think about inspection

Liver: the gut is a key target of therapy in hepatic encephalopathy.

Little progress has been made in the pharmacological management of patients with hepatic encephalopathy, partly because it is difficult to perform clinical trials in this group of patients. A new clinical trial now suggests that polyethylene glycol is more effective than the current standard first-line therapy in these patients

Camera distortion self-calibration using the plumb-line constraint and minimal Hough entropy

In this paper we present a simple and robust method for self-correction of camera distortion using single images of scenes which contain straight lines. Since the most common distortion can be modelled as radial distortion, we illustrate the method using the Harris radial distortion model, but the method is applicable to any distortion model. The method is based on transforming the edgels of the distorted image to a 1-D angular Hough space, and optimizing the distortion correction parameters which minimize the entropy of the corresponding normalized histogram. Properly corrected imagery will have fewer curved lines, and therefore less spread in Hough space. Since the method does not rely on any image structure beyond the existence of edgels sharing some common orientations and does not use edge fitting, it is applicable to a wide variety of image types. For instance, it can be applied equally well to images of texture with weak but dominant orientations, or images with strong vanishing points. Finally, the method is performed on both synthetic and real data revealing that it is particularly robust to noise.Comment: 9 pages, 5 figures Corrected errors in equation 1

Implementation of Precast Technology in India–Opportunities and Challenges

Rapid economic growth and limited availability of affordable land have restricted the horizontal mode of construction leading to vertical construction in most of the Indian cities. Urban India is mostly marked by tall buildings that are being built. Due to the economic slowdown and some governmental interventions, these building projects are seeing significant time and cost overrun, ultimately impacting the end-user. As these market pressures rise more and more, real estate developers are considering to adopt emerging technologies to compensate for these construction issues. Indian construction industry is undergoing a paradigm shift from traditional methods of construction to modern methods of construction. Precast technology is one such move which is expected to enhance the productivity of the construction process, thereby, optimizing the requirement of resources on the site, reducing waste generation and resulting in a faster delivery of the projects. While internationally precast technology is considered as a mature technology, in India, it is not widely utilized, despite the advantages. Commonly cited constraints are high costs in comparison to traditional construction, economies of scale, logistics, skill level required, end user friendliness, etc. Primarily, this study focusses on identifying the challenges faced by the precast technology under various categories. This study also presents a cost analysis model for precast technology versus traditional construction to address some of the challenges. Presented cost model is applied to two projects wherein precast technology and conventional technology are utilized to construct the project and an inference is drawn comparing the time and cost aspects of precast technology. Amicable solutions are proposed for adoption of precast construction from an Indian perspective

Effectiveness of a Walking Program for Children and Their Families

Please refer to the pdf version of the abstract located adjacent to the title

Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection

© 2019 IEEE. The ubiquitous availability of smartphones and the increasing popularity of social media provide a platform for users to express their feelings, including suicidal ideation. Suicide prevention by suicidal ideation detection on social media lights the path to controlling the rapidly increasing suicide rates amongst youth. This paper proposes a diverse set of features and investigates into feature selection using the Firefly algorithm to build an efficient and robust supervised approach to classifying tweets with suicidal ideation. The development of a suicidal language to create three diverse, manually annotated datasets leads to the validation of the proposed model. An in-depth result and error analysis lead to an accurate system for monitoring suicidal ideation on social media along with the discovery of optimal feature subsets and selection methods using a penalty based Firefly algorithm

Attention-deficit hyperactivity disorder in people with intellectual disability: statistical approach to developing a bespoke screening tool.

BACKGROUND: Attention-deficit hyperactivity disorder (ADHD) is common among people with intellectual disability. Diagnosing ADHD in this clinically and cognitively complex and diverse group is difficult, given the overlapping psychiatric and behavioural presentations. Underdiagnoses and misdiagnoses leading to irrational polypharmacy and worse health and social outcomes are common. Diagnostic interviews exist, but are cumbersome and not in regular clinical use. AIMS: We aimed to develop a screening tool to help identify people with intellectual disability and ADHD. METHOD: A prospective cross-sectional study, using STROBE guidance, invited all carers of people with intellectual disability aged 18-50 years open to the review of the psychiatric team in a single UK intellectual disability service (catchment population: 150 000). A ten-item questionnaire based on the DSM-V ADHD criteria was circulated. All respondents' baseline clinical characteristics were recorded, and the DIVA-5-ID was administered blinded to the individual questionnaire result. Fisher exact and multiple logistic regressions were conducted to identify relevant questionnaire items and the combinations that afforded best sensitivity and specificity for predicting ADHD. RESULTS: Of 78 people invited, 39 responded (26 men, 13 women), of whom 30 had moderate-to-profound intellectual disability and 38 had associated comorbidities and on were medication, including 22 on psychotropics. Thirty-six screened positive for ADHD, and 24 were diagnosed (16 men, eight women). Analysis showed two positive responses on three specific questions to have 88% sensitivity and 87% specificity, and be the best predictor of ADHD. CONCLUSIONS: The three-question screening is an important development for identifying ADHD in people with intellectual disability. It needs larger-scale replication to generate generalisable results