The role of facilities manager in sustainable practice in the UK and Ireland

Purpose – The purpose of this paper is to explore the role of facilities managers in sustainable practice. It also analyzes the change in facilities management (FM) in terms of sustainability.

Design/methodology/approach – This research adopted a combination of literature review and expert interviews. Empirical data were collected through in-depth interviews with 40 industrial experts in the UK and Ireland.

Findings – The analysis of interview results shows a sustainable movement in the context of FM. Facilities managers play important roles in sustainable practice, including integrating all sustainability considerations, linking strategic level with operational level, incorporating FM knowledge and experience into design, disseminating sustainable knowledge and educating people and encouraging sustainability through innovation.

Research limitations/implications – This research goes beyond the limitations of existing studies that are characterized by a lack of positioning facilities managers in sustainability.

Practical implications – Sustainable delivery represents a direction of FM development. This research describes what facilities managers can do and how they should do for sustainable delivery of FM, based on which improvements are made and benefits are maximized.

Originality/value – This research provides a deeper insight into the FM role in the sustainable agenda. The findings of this research help industrial practitioners and academic researchers to better understand sustainable FM.

A Randomized Controlled Trial Evaluation of an After-School Pro-Social Behavior Program in an Area of Socioeconomic Disadvantage

A randomized controlled trial was used to evaluate the effects of a pro-social behavior after-school program called Mate-Tricks for nine and ten year old children and their parents living in an area of significant socioeconomic disadvantage. The children were randomly assigned to an intervention (n=220) or a control group (n=198). Children were compared on measures of pro-social behavior, anti-social behavior and related outcome measures. The trial found adverse effects on four outcomes among the intervention group compared to the control group: anti-social behavior increased on two different measures (d=+0.20) and (d=+0.18); child reported liberal parenting increased (d=+0.16); and child reported authoritarian parenting also increased (d=+0.20). In addition, parental participation was significantly associated with several program outcomes. It was concluded, that group based after-school behavior programs may have the potential to cause iatrogenic effects and must be designed, piloted, evaluated and implemented with a high degree of care.

Study on risk assessment and management and prevention of conflicts of interest in the prevention and fight against betting-related match fixing in the EU 28: Final Report

This report concerns the provisions and practices on betting-related match fixing in sports
within the 28 Member States. Carried out in late 2013/early 2014, respondents in each Member
State reported on that state’s gambling-related provisions in respect of football and tennis and
(in each country) a third sport determined on the basis of either its popularity (in terms of
participation or television viewing) or the existence of betting-related “scandals” in that sport
within that particular jurisdiction. Those reports helped the authors to compare the Member
States’ regulatory and self-regulatory frameworks relating to risk assessment and conflict of
interest management, with a view to indicating areas of best practice, identifying particularly
good legislative frameworks and highlighting areas where change was either desirable or
necessary. While some individual Member States have legislation which might provide
templates that others could adapt for their own use, the authors were not convinced that “more
law”, whether at the national or European level, was desirable. Rather, more effective
cooperation among the stakeholders was identified as being more likely to provide tangible
benefits than would new legal frameworks.

Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors

Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as being error prone, such a manual process can also be time consuming; thus affecting the usability and suitability of shoeprint evidence in a court of law. Thus, an automatic system for classification and retrieval of shoeprints has the potential to be a valuable tool. This paper presents a solution for the automatic retrieval of shoeprints which is considerably more robust than existing solutions in the presence of geometric distortions such as scale, rotation and scale distortions. It addresses the issue of classifying partial shoeprints in the presence of rotation, scale and noise distortions and relies on the use of two local point-of-interest detectors whose matching scores are combined. In this work, multiscale Harris and Hessian detectors are used to select corners and blob-like structures in a scale-space representation for scale invariance, while Scale Invariant Feature Transform (SIFT) descriptor is employed to achieve rotation invariance. The proposed technique is based on combining the matching scores of the two detectors at the score level. Our evaluation has shown that it outperforms both detectors in most of our extended experiments when retrieving partial shoeprints with geometric distortions, and is clearly better than similar work published in the literature. We also demonstrate improved performance in the face of wear and tear. As matter of fact, whilst the proposed work outperforms similar algorithms in the literature, it is shown that achieving good retrieval performance is not constrained by acquiring a full print from a scene of crime as a partial print can still be used to attain comparable retrieval results to those of using the full print. This gives crime investigators more flexibility is choosing the parts of a print to search for in a database of footwear.

Appointment keeping for medical review among patients with selected chronic diseases in an urban area of Uganda

Introduction: proper management of chronic diseases is important for prevention of disease complications and yet some patients miss appointments for medical review thereby missing the opportunity for proper monitoring of their disease conditions. There is limited information on missed appointments among chronic disease patients in resource limited settings. This study aimed to determine the prevalence of missed appointments for medical review and associated factors among chronic disease patients in an urban area of Uganda.

Methods: patients or caregivers of children with chronic diseases were identified as they bought medicines from a community pharmacy. They were visited at home to access their medical documents and those whose chronic disease status was ascertained were enrolled. The data was collected using: questionnaires, review of medical documents, and in-depth interviews with chronic disease patients.

Results: the prevalence of missed appointments was 42% (95%CI=35-49%). The factors associated with missed appointments were: monthly income ?30US Dollars (OR=2.56, CI=1.25–5.26), affording less than half of prescribed drugs (OR=3.92, CI=1.64–9.40), not experiencing adverse events (OR=2.66, CI=1.26–5.61), not sure if treatment helps (OR=2.84, CI=1.047.77), not having a medicines administration schedule (OR=6.77, CI=2.11–21.68), and increasing number of drugs (OR=0.72, CI=0.53–0.98). Conclusion: patients missed appointments mainly due to: financial and health system barriers, conflicting commitments with appointments, and perceptions of the disease condition. Patients should be supported with accessible and affordable health services.

Retrieving Regions of Interest for User Exploration

We consider an application scenario where points of interest (PoIs) each have a web presence and where a web user wants to iden- tify a region that contains relevant PoIs that are relevant to a set of keywords, e.g., in preparation for deciding where to go to conve- niently explore the PoIs. Motivated by this, we propose the length- constrained maximum-sum region (LCMSR) query that returns a spatial-network region that is located within a general region of in- terest, that does not exceed a given size constraint, and that best matches query keywords. Such a query maximizes the total weight of the PoIs in it w.r.t. the query keywords. We show that it is NP- hard to answer this query. We develop an approximation algorithm with a (5 + ǫ) approximation ratio utilizing a technique that scales node weights into integers. We also propose a more efficient heuris- tic algorithm and a greedy algorithm. Empirical studies on real data offer detailed insight into the accuracy of the proposed algorithms and show that the proposed algorithms are capable of computingresults efficiently and effectively.

A Local Superlens

Superlenses enable near-field imaging beyond the diffraction limit. However, their widespread implementation in optical imaging technology so far has been limited by large-scale fabrication, fixed lens position and specific object materials. Here, we demonstrate that a dielectric lamella of sub-wavelength size in all three spatial dimensions behaves as a compact superlens that operates at infrared wavelengths and can be positioned to image any local microscopic area of interest on the sample. In particular, the lamella superlens may be placed in contact with any type of object and therefore enables examination of hard-to-scan samples e.g. with high topography or in liquids, without altering the specimen design. This lamella-based local superlens design is directly applicable to sub-wavelength light-based technology such as integrated optics.