The roles of sustainability assessment systems in delivering sustainable construction

Sustainable development in construction has increasingly gained momentum over the years due to a growing public concern and enforcement of government policy. A variety of sustainability standards and systems have therefore emerged in the current construction industry to provide a means for assessment, ranging from Leadership in Energy and Environmental Design (LEED), Building Research Establishment Environmental Assessment Method (BREEAM), National Australian Building Environmental Rating System (NABERS) to ISO14001. In Hong Kong, LEED and Building Environmental Assessment Method (BEAM Plus) are the mechanism preferred by practitioners for their sustainable buildings certification. This paper will review and examine the roles of the sustainability performance assessment standards in delivering sustainability in construction. Interviews were conducted to explore various viewpoints on sustainability rating systems from different stakeholders. Apart from serving as a guideline for practitioners, sustainability systems can help to gauge the sustainable performance of individual buildings by using transparent and objectively comprehensible metrics. Nevertheless, there is a lack of focus on the post occupancy evaluation and soft issues in the current sustainability assessment systems. By taking into consideration soft issues and those performance goals in operational management, a more holistic and comprehensive assessment approach can be provided for evaluating sustainable construction performance. The potential of the green building rating systems being abused for marketing purpose can also be reduced with a series of periodic assessments during the operational life cycle. These improved sustainability assessment systems can therefore help to reframe the expectations and the strategies of construction stakeholders in pursuing the true goals of sustainable development in construction.published_or_final_versio

Conceptual Maturity Model for Sustainable Construction

The construction industry has contributed substantially to not only the growth of the economy, but also the development of the environment and society. In past decades, an increasing public awareness on the environmental and social growth has promoted the application of sustainable development in construction. The triple bottom line—economy, society, and environment—has been widely recognized as a significant dimension for measuring the performance of sustainability. Although a number of performance indicator systems are available in the current market, few of them have considered soft systems—culture and human aspects—in measuring the performance of sustainable construction. This paper therefore aims to develop a conceptual maturity model for sustainable construction to gain a deeper and richer understanding of the actual practices on sustainable construction. Five key domains are outlined in the proposed model as the metrics with the description and subfactors of each metric. Apart from contributing to increasing competitive advantage, the proposed model can steer the construction community to improve performance in attaining the goals of sustainable construction. Nonetheless, this conceptual maturity model is still at an early development stage, and it is subject to more empirical testing and research for its practicability and further refinement.postprin

L-ornithine L-aspartate for people with cirrhosis and hepatic encephalopathy

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: To assess the beneficial and harmful effects of L-ornithine L-aspartate versus placebo, no intervention, or other active interventions for people with cirrhosis and hepatic encephalopathy

A Self-Reference False Memory Effect in the DRM Paradigm: Evidence from Eastern and Western Samples

It is well established that processing information in relation to oneself (i.e., selfreferencing) leads to better memory for that information than processing that same information in relation to others (i.e., other-referencing). However, it is unknown whether self-referencing also leads to more false memories than other-referencing. In the current two experiments with European and East Asian samples, we presented participants the Deese-Roediger/McDermott (DRM) lists together with their own name or other people’s name (i.e., “Trump” in Experiment 1 and “Li Ming” in Experiment 2). We found consistent results across the two experiments; that is, in the self-reference condition, participants had higher true and false memory rates compared to those in the other-reference condition. Moreover, we found that selfreferencing did not exhibit superior mnemonic advantage in terms of net accuracy compared to other-referencing and neutral conditions. These findings are discussed in terms of theoretical frameworks such as spreading activation theories and the fuzzytrace theory. We propose that our results reflect the adaptive nature of memory in the sense that cognitive processes that increase mnemonic efficiency may also increase susceptibility to associative false memories

Controlled assembly of superparamagnetic iron oxide nanoparticle into nanoliposome for Pickering emulsion preparation

There has been a surge in effort in the development of various solid nanoparticles as Pickering emulsion stabilizers in the past decades. Regardless, the exploration of stabilizers that simultaneously stabilize and deliver bioactive has been limited. For this, liposomes with amphiphilic nature have been introduced as Pickering emulsion stabilizers but these nano-sized vesicles lack targeting specificity. Therefore in this study, superparamagnetic iron oxide nanoparticles (SPION) encapsulated within liposomes (MLP) were used as Pickering emulsion stabilizers to prepare pH and magnetic-responsive Pickering emulsions. A stable MLP-stabilized Pickering emulsion formulation was established by varying the MLP pH, concentration, and oil loading during the emulsification process. The primary stabilization mechanism of the emulsion under pH variation was identified to be largely associated with the MLP phosphate group deprotonation. When subjected to sequential pH adjustment to imitate the gastrointestinal digestion pH environment, a recovery in Pickering emulsion integrity was observed as the pH changes from acidic to alkaline. By incorporating SPION, the Pickering emulsion can be guided to the targeted site under the influence of a magnetic field without compromising emulsion stability. Overall, the results demonstrated the potential of MLP-stabilized Pickering emulsion as a dual pH- and magnetic-responsive drug delivery carrier with the ability to co-encapsulate hydrophobic and hydrophilic bioactive

Auxetic Composite Sandwich for Vibration Damping Through Axisymmetric Deformation

\ua9 2025 by the authors.External undesirable vibrations from the environment can affect the performance of vibration-sensitive equipment. Passive isolators are simpler, lighter, and cheaper, and constrained layer damping is a low-cost yet effective method of vibration dampening. Traditional methods of improving constrained layer damping include increasing the number of layers or directly connecting one end of the constraining layers to the base structure. The drawback of these methods is the requirement to increase the overall thickness. Also, like most passive isolators, it has a limitation on stability, which is usually solved by external mechanical limiters. The novel concept of an auxetic composite sandwich addresses both issues of having an external limiter by using the constraining layer for load bearing and enhancing damping performance without increasing the overall thickness, achieved through an auxetic interlayer and deforming axis-symmetrically. The rotating triangle auxetic interlayer is selected based on biomimicry of animals that endure impact and pressure, such as cranial sutures, beaks, ammonoid and turtle shells. Finite element analysis shows significantly higher damping ratio at the beginning of free vibration, and experiment results show an eightfold increase in damping ratio (from 0.04 to 0.29). Additionally, settling time to 0.25 g is reduced from 70.7 ms to 60.9 ms as acceleration is increased from 0.5 g to 4 g. Power spectrum density shows better attenuation, three to four times better than the plain model. The successful demonstration of the concept motivates further study to understand the performance of auxetic patterns in enhancing constrained layer damping

An in-frame deletion at the polymerase active site of POLD1 causes a multisystem disorder with lipodystrophy

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.DNA polymerase δ, whose catalytic subunit is encoded by POLD1, is responsible for lagging-strand DNA synthesis during DNA replication. It carries out this synthesis with high fidelity owing to its intrinsic 3'- to 5'-exonuclease activity, which confers proofreading ability. Missense mutations affecting the exonuclease domain of POLD1 have recently been shown to predispose to colorectal and endometrial cancers. Here we report a recurring heterozygous single-codon deletion in POLD1 affecting the polymerase active site that abolishes DNA polymerase activity but only mildly impairs 3'- to 5'-exonuclease activity. This mutation causes a distinct multisystem disorder that includes subcutaneous lipodystrophy, deafness, mandibular hypoplasia and hypogonadism in males. This discovery suggests that perturbing the function of the ubiquitously expressed POLD1 polymerase has unexpectedly tissue-specific effects in humans and argues for an important role for POLD1 function in adipose tissue homeostasis.This work was supported by NIHR Exeter Clinical Research Facility through funding for SE and ATH and general infrastructure. The authors thank Michael Day, Annet Damhuis and Richard Gilbert for technical assistance. We thank Karen Knapp for providing the data for the DEXA calculations. SE, ATH, SO are supported by Wellcome Weedon et al. Page 6 Nat Genet. Author manuscript; available in PMC 2014 February 01. Europe PMC Funders Author Manuscripts Europe PMC Funders Author Manuscripts Trust Senior Investigator awards. DS and RKS (098498/Z/12/Z) are supported by Wellcome Trust Senior Research Fellowships in Clinical Science. MNW is supported by the Wellcome Trust as part of the WT Biomedical Informatics Hub funding. RO is supported by Diabetes UK. DS, RKS and SO are supported by the UK National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre. KJG is supported by the Agency for Science, Technology and Research, Singapore (A*STAR). LAL and MJP are supported by grants NCI-61-6845 and 62-4860

A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics

Background: Genome-wide data are increasingly important in the clinical evaluation of human disease. However, the large number of variants observed in individual patients challenges the efficiency and accuracy of diagnostic review. Recent work has shown that systematic integration of clinical phenotype data with genotype information can improve diagnostic workflows and prioritization of filtered rare variants. We have developed visually interactive, analytically transparent analysis software that leverages existing disease catalogs, such as the Online Mendelian Inheritance in Man database (OMIM) and the Human Phenotype Ontology (HPO), to integrate patient phenotype and variant data into ranked diagnostic alternatives. Methods: Our tool, “OMIM Explorer” (http://www.omimexplorer.com), extends the biomedical application of semantic similarity methods beyond those reported in previous studies. The tool also provides a simple interface for translating free-text clinical notes into HPO terms, enabling clinical providers and geneticists to contribute phenotypes to the diagnostic process. The visual approach uses semantic similarity with multidimensional scaling to collapse high-dimensional phenotype and genotype data from an individual into a graphical format that contextualizes the patient within a low-dimensional disease map. The map proposes a differential diagnosis and algorithmically suggests potential alternatives for phenotype queries—in essence, generating a computationally assisted differential diagnosis informed by the individual’s personal genome. Visual interactivity allows the user to filter and update variant rankings by interacting with intermediate results. The tool also implements an adaptive approach for disease gene discovery based on patient phenotypes. Results: We retrospectively analyzed pilot cohort data from the Baylor Miraca Genetics Laboratory, demonstrating performance of the tool and workflow in the re-analysis of clinical exomes. Our tool assigned to clinically reported variants a median rank of 2, placing causal variants in the top 1 % of filtered candidates across the 47 cohort cases with reported molecular diagnoses of exome variants in OMIM Morbidmap genes. Our tool outperformed Phen-Gen, eXtasy, PhenIX, PHIVE, and hiPHIVE in the prioritization of these clinically reported variants. Conclusions: Our integrative paradigm can improve efficiency and, potentially, the quality of genomic medicine by more effectively utilizing available phenotype information, catalog data, and genomic knowledge

A Novel Microwave Sensor to Detect Specific Biomarkers in Human Cerebrospinal Fluid and Their Relationship to Cellular Ischemia During Thoracoabdominal Aortic Aneurysm Repair

Thoraco-abdominal aneurysms (TAAA) represents a particularly lethal vascular disease that without surgical repair carries a dismal prognosis. However, there is an inherent risk from surgical repair of spinal cord ischaemia that can result in paraplegia. One method of reducing this risk is cerebrospinal fluid (CSF) drainage. We believe that the CSF contains clinically significant biomarkers that can indicate impending spinal cord ischaemia. This work therefore presents a novel measurement method for proteins, namely albumin, as a precursor to further work in this area. The work uses an interdigitated electrode (IDE) sensor and shows that it is capable of detecting various concentrations of albumin (from 0 to 100 g/L) with a high degree of repeatability at 200 MHz (R2 = 0.991) and 4 GHz (R2 = 0.975)