Visual field progression 8 years after trabeculectomy in Asian eyes: results from The Singapore 5-Fluorouracil Study

Background/Aims: This work aimed to study the effect of long-term intraocular pressure (IOP) fluctuation on visual field (VF) progression 8 years post-trabeculectomy in Asian eyes. / Methods: This was a retrospective analysis of 8-year post-trabeculectomy data from The Singapore 5-Fluorouracil (5-FU) Study. VFs were analysed using Progressor software (Medisoft, Leeds, UK). Outcome measures included mean slope for VF per year, number of progressing points and mean slope for progressing points per year. Multivariate regression analyses were performed adjusting for age, gender, ethnicity, glaucoma type, intraoperative 5-FU, diabetes mellitus, hypertension, best pre-trabeculectomy VF mean deviation, post-trabeculectomy mean IOP, IOP reduction and IOP fluctuation (SD of IOPs at 6-monthly timepoints). / Results: 127 (52.3%) subjects completed 8-year follow-up with ≥5 reliable VFs and ≥8 6-monthly IOP measurements. Mean age was 61.8±9.6 years. Post-operatively, mean IOP was 14.2±2.8 mm Hg and mean IOP fluctuation was 2.53±1.20 mm Hg. Higher IOP fluctuation was associated with greater mean slope for field (B=−0.071; p=0.013), number of progressing points (B=0.963; p=0.014) and VF progression as defined by ≥1 progressing point (OR=1.585; p=0.029). There was also a trend towards eyes with higher IOP fluctuation having ≥3 adjacent progressing points in the same hemifield (OR=1.489; p=0.055). Greater mean IOP reduction post-trabeculectomy was associated only with a lower mean slope for progressing points per year (B=−0.026; p=0.028). There was no significant effect of intra-operative 5-FU compared with placebo for all outcome measures. / Conclusion: In post-trabeculectomy Asian eyes with well-controlled IOP, higher long-term IOP fluctuation may be associated with greater VF progression

The application of exercise stress cardiovascular magnetic resonance in patients with suspected dilated cardiomyopathy

Objectives The imaging features of dilated cardiomyopathy (DCM) overlap with physiological exercise-induced cardiac remodeling in active and otherwise healthy individuals. Distinguishing the two conditions is challenging. This study examined the diagnostic and prognostic roles of exercise stress imaging in asymptomatic patients with suspected DCM. Methods Exercise stress cardiovascular magnetic resonance (CMR) was performed in 60 asymptomatic patients with suspected DCM (dilated left ventricle and/or impaired systolic function on CMR), who also underwent DNA sequencing for DCM-causing genetic variants. Confirmed DCM was defined as genotype- and phenotype-positive (G+P+). Another 100 healthy subjects were recruited to establish normal exercise capacities (peak exercise cardiac index; PeakCI). The primary outcome was a composite of all-cause mortality, cardiac decompensation and ventricular arrhythmic events. Results No patients with confirmed G+P+ DCM had PeakCI exceeding the 35th percentile specific for age and sex. Applying this threshold in G-P+ patients, those with PeakCI below 35th percentile had characteristics similar to confirmed DCM while patients with higher PeakCI were younger, more active and higher longitudinal strain. Adverse cardiovascular events occurred only in patients with low exercise capacity (P = 0.004). Conclusions In individuals with suspected DCM, exercise stress CMR demonstrates diagnostic and prognostic potential in distinguishing between pathological DCM and physiological exercise-induced cardiac remodeling

Rheological Characteristics of Municipal Thickened Excess Activated Sludge (TEAS): Impacts of pH, Temperature, Solid Concentration and Polymer Dose

Rheological characterization of sludge is known to be an essential tool to optimize flow, mixing and other process parameters in wastewater treatment plants. This study deals with the characterization of thickened excess activated sludge in comparison to raw primary sludge and excess activated sludge. The effects of key parameters (total solid concentration, temperature, and pH) on the rheology and flow behavior of thickened excess activated sludge were studied. The rheological investigations were carried out for total solid concentration range of 0.9–3.7 %w/w, temperature range of 23–55 °C, and pH range of 3.6–10.0. Different rheological model equations were fitted to the experimental data. The model equations with better fitting were used to calculate the yield stress, apparent, zero-rate, infinite-rate viscosities, flow consistency index, and flow index. The decrease in concentration from 3.7 to 3.1 %w/w resulted in a drastic reduction of yield stress from 27.6 to 11.0 Pa, while a further reduction of yield stress to 1.3 Pa was observed as solid concentration was reduced to 1.3 %w/w. The viscosity at higher shear rate (>600 s−1) decreased from 0.05 Pa·s down to 0.008 Pa·s when the total solid concentration was reduced from 3.7 to 0.9 %. Yield stress decreased from 20.1 Pa down to 8.3 Pa for the Bingham plastic model when the temperature was raised from 25 to 55 °C. Activation energy and viscosity also showed decreasing trends with increasing temperature. Yield stress of thickened excess activated sludge increased from a value of 6.0 Pa to 8.3 Pa when the pH was increased from 3.6 to 10.0. The effect of polymer dose on the rheological behavior of the thickening of excess activated sludge was also investigated, and the optimum polymer dosage for enhanced thickener performance was determined to be 1.3 kg/ton DS

A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation

This paper examines key aspects in the innovative behavior of the construction firms that determine their environmental orientation while innovating. Structural equation modeling was used and data of 222 firms retrieved from the Spanish Technological Innovation Panel (PITEC) for 2010 to analyse the drivers of environmental orientation of the construction firms during the innovation process. The results show that the environmental orientation is positively affected by the product and process orientation of construction firms during the innovation process. Furthermore, the positive relation between the importance of market information sources and environmental orientation, mediated by process and product orientation, is discussed. Finally, a model that explains these relations is proposed and validated. Results have important managerial implications for those companies worried about their eco-innovative focus as the types of actions and relations within firms most suitable for improving their eco-innovative orientation are highlighted.The authors would like to thank the Spanish Economy and Competitiveness Ministry for its support through the research project (EC02011-27369) and also the Universitat Politecnica de Valencia (SP20140647).Segarra Oña, MDV.; Peiró Signes, A.; Cervelló Royo, RE. (2015). A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation. Science and Engineering Ethics. 21(6):1469-1484. https://doi.org/10.1007/s11948-014-9620-2S14691484216Amara, N., & Landry, R. (2005). Sources of information as determinants of novelty of innovation in manufacturing firms: evidence from the 1999 statistics Canada innovation survey. Technovation, 25(3), 245–259.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two- step approach. Psychological Bulletin, 103(3), 411–423.Ang, G. K. I. (2004). Competing revaluing construction paradigms in practice. Rotterdam: CIB.Audet, R., & Guyonnaud, M. F. (2013). Transition in practice and action in research. A French case study in piloting eco-innovations. Innovation: The European Journal of Social Science Research, 26(4), 398–415.Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 18(1), 74–94.Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least square (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies, Special Issue on Research Methodology, 2(2), 285–309.Barrett, P. (2007). Revaluing construction: A holistic model. Building Research and Information, 35(3), 268–286.Barrett, P., & Lee, A. (2005). Revaluing construction: A CIB priority theme, Salford Centre for Research and Innovation. Salford/CIB: University of Salford, Rotterdam.Beamon, B. M. (2005). Environmental and sustainability ethics in supply chain management. Science and Engineering Ethics, 11(2), 221–234.Burciu, A., Bostan, I., Condrea, P., & Grosu, V. (2010). Financing the environmental policies in the communitarian space. Environmental Engineering and Management Journal, 9(9), 1179–1185.Carrascosa-López, C., Peiró-Signes, Á., & Segura-García-del-Río, B. (2012). Does it pay to be greener than legislation? An empirical study of spanish tile industry. Journal of Sustainable Development, 5(5), 17–26.Carter, T., & Fowler, L. (2008). Establishing green roof infrastructure through environmental policy instruments. Environmental Management, 42(1), 151–164.Cervelló-Royo, R., Garrido-Yserte, R., & Segura-García del Río, B. (2012). An urban regeneration model in heritage areas in search of sustainable urban development and internal cohesion. Journal of Cultural Heritage Management and Sustainable Development, 2(1), 44–61.Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–358). New Jersey: Lawrence Erlbaum Associates.Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modelling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic mail emotion/adoption study. Information Systems Research, 14(2), 189–217.Commission, European. (2004). Facing the challenge: The Lisbon strategy for growth and employment Brussels. Brussels: European Comission.Commission of the European Communities (2006). Action Plan for Energy Efficiency: Realising the Potential, Brussels. http://ec.europa.eu/energy/action_plan_energy_efficiency/doc/com_2006_0545_en.pdf . (Accessed 31/01/2014).Courtney, R., & Winch, G. (2002). CIB strategy for re-engineering construction. Rotterdam: CIB.Courtney, R., & Winch, G. M. (2003). Re-engineering construction: The role of research and implementation. Building Research and Information, 31(2), 172–178.Davis, M. (2001). The professional approach to engineering ethics: Five research questions. Science and Engineering Ethics, 7, 379–390.Ding, G. K. C. (2008). Sustainable construction. The role of environmental assessment tools. Journal of Environmental Management, 86(3), 451–464.Du Plessis, C., & Cole, R. J. (2011). Motivating change: Shifting the paradigm. Building Research and Information, 39(5), 436–449.Esty, D. C., & Winston, A. S. (2006). Green to gold, how smart companies use environmental strategy to innovate, create value, and build competitive advantage. Hoboken: Wiley.European Commission (2010) Europe 2020: A strategy for smart, sustainable and inclusive growth, Brussels.Falk, R., & Miller, N. (1992). A primer on soft modelling. Akron: The University of Akron Press.Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 328–388.Freeman, R. E. (1994). The politics of stakeholder theory: Some future directions. Business Ethics Quarterly, 4(4), 409–422.Gázquez-Abad, J. C., Huertas-García, R., Vázquez-Gómez, M. D., & Romeo, A. C. (2014). Drivers of sustainability strategies in Spain’s wine tourism industry. Cornell Hospitality Quarterly, 1938965514549657.Gebauer, H., Gustafsson, A., & Witell, L. (2011). Competitive advantage through service differentiation by manufacturing companies. Journal of Business Research, 64(12), 1270–1280.Geisser, S. (1975). A predictive approach to the random effect model. Biometrika, 61(1), 101–107.González-Benito, O., & González-Benito, J. (2008). Implications of market orientation on the environmental transformation of industrial firms. Ecological Economics, 64(4), 752–762.Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least square path modelling in international marketing. In I. Rudolf, R. Sinkovics & N. Pervez (Eds.), Advance in international marketing (Vol. 20, pp. 277–319).Hill, S., & Lorenz, D. (2011). Rethinking professionalism: Guardianship of land and resources. Building Research and Information, 39(3), 314–319.Huedo, P., & Lopez-Mesa, B. (2013). Review of tools to assist in the selection of sustainable building assemblies. Informes de la Construcción, 65(529), 77–88.IPCC. (2007a). Climate change 2007: The physical science basis. summary for policymakers: Contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change. Geneva: IPCC.IPCC. (2007b). Mitigation. contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change. Geneva: IPCC.Jensen, J. S., Gottlieb, S. C., & Thuese, C. L. (2011). Construction sector development: Frames and governance responses. Building Research and Information, 39(6), 665–667.Kibert, Ch J. (2007). The next generation of sustainable construction. Building Research & Information, 35(6), 595–601.Kim, Y., Brodhag, C., & Mebratu, D. (2014). Corporate social responsibility driven innovation. Innovation: The European Journal of Social Science Research, 27(2), 175–196.Kuhn, S. (2001). Commentary on: The greening of engineers: A cross-cultural experience. Science and Engineering Ethics, 7(1), 123–124.Lam, P. T., Chan, E. H., Chau, C. K., Poon, C. S., & Chun, K. P. (2011). Environmental management system vs green specifications: How do they complement each other in the construction industry? Journal of Environmental Management, 92(3), 788–795.Leimeister, S., Leimeister, J. M., & Knebel, U. (2009). A cross-national comparison of perceived strategic importance of RFID for CIOs in Germany and Italy. International Journal of Information Management, 29(1), 37–47.Leman, A., & Bordass, B. (2007). Are users more tolerant of green buildings? Building Research and Information, 35(6), 662–673.Liefferink, D., & Andersen, M. S. (1998). Strategies of the green member states in EU environmental policy-making. Journal of European Public Policy, 5(2), 254–270.Losada, B. (2013). Smart cities through the smart grid: The sustainable smart city and its energy dependence. DYNA, 88(2), 154–155.Luetzkendorf, T. (2010). Sustainable properties-dream or trend? Informes de la Construcción, 61(517), 5–15.Lützkendorf, T., & Lorenz, D. (2007). Integrating sustainability into property risk assessments for market transformation. Building Research and Information, 35(6), 644–671.Matthyssensa, P., & Vandenbempt, K. (2008). Moving from basic offerings to value-added solutions: Strategies, barriers and alignment. Industrial Marketing Management, 37(3), 316–328.McKeiver, C., & Gadenne, D. (2005). Environmental management systems in small and medium business. Small Business Journal, 23(5), 513–537.Nunnally, J. C., & Bernstein, I. H. (1995). Teoría psicométrica. México: McGraw-Hill.Parsa, H. G., Segarra-Oña, M., Jang, S. S., Chen, R., & Singh, A. J. (2014). Special issue on sustainable and eco-innovative practices in hospitality and tourism. Cornell Hospitality Quarterly, 55(1), 5–5.Pearce, D. (2006). Is the construction sector sustainable? Building Research and Information, 34(3), 201–207.Peiró-Signes, A., Miret-Pastor, L. L., Segarra-Oña, M. V., & De Miguel Molina, B. (2013). Analysing the determinants of better performance through eco management tools at the food industry: An empirical study. In P. Golinska (Ed.), Eco Production and logistics (pp. 73–90). Heidelberg: Springer.Peiró-Signes, A., Verma, R., Mondéjar-Jiménez, J., & Vargas-Vargas, M. (2014). The impact of environmental certification on hotel guest ratings. Cornell Hospitality Quarterly, 55(1), 40–51.Petruzzelli, A. M., Dangelico, R. M., Rotolo, D., & Albino, V. (2011). Organizational factors and technological features in the development of green innovations: Evidence from patent analysis. Innovation: Management, Policy and Practice, 13(3), 291–310.Porter, M. E., & Kramer, M. R. (2006). Strategy and society: The link between competitive advantage and corporate social responsibility. Harvard Business Review, 84(12), 78–92.Porter, M. E., & Van der Linde, C. (1995). Toward a new conception of the environment competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118.Rennings, K. (2002). Redefining innovation—Eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319–332.Rennings, K., Ziegler, A., Ankele, K., & Hoffman, E. (2006). The influence of different characteristics of the eu environmental management and auditing scheme on technical environmental innovations and economic performance. Ecological Economics, 57(1), 45–59.Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 M3. http:// www.smartpls.de .Sánchez-Ollero, J. L., García-Pozo, A., & Marchante-Mera, A. (2013). How does respect for the environment affect final prices in the hospitality sector? A hedonic pricing approach. Cornell Hospitality Quarterly, 55, 31–39.Schmidt, V. A., & Radaelli, C. M. (2004). Policy change and discourse in Europe: Conceptual and methodological issues. West European Politics, 27(2), 183–210.Segarra-Oña, M.D.V., M.Peiró-Signes, Á., Verma, R., & Miret-Pastor, L. (2012). Does environmental certification help the economic performance of hotels? Evidence from the spanish hotel industry. Cornell Hospitality Quarterly, 1938965512446417.Segarra-Oña, M. V., Peiró-Signes, A., Albors-Garrigós, J., & Miret-Pastor, P. (2011). Impact of innovative practices in environmentally focused firms: Moderating factors. International Journal of Environmental Research, 5(2), 425–434.Segarra-Oña, M. D. V., Peiró-Signes, A., & Mondéjar-Jiménez, J. (2013). Identifying variables affecting the proactive environmental orientation of firms: An empirical study. Polish Journal of Environmental Studies, 22(3), 873–880.Sharma, A., Thomas, D., & Konsynski, B. (2008). Strategic and institutional perspectives in the evaluation, adoption and early integration of radio frequency identification (RFID): An empirical investigation of current and potential adopters. Proceedings of the 41st Hawaii international conference on system science, Waikoloa, Big Island, Hawaii, USA (pp 407–420).Sigala, M. (2014). Customer involvement in sustainable supply chain management a research framework and implications in tourism. Cornell Hospitality Quarterly, 55(1), 76–88.Song, M., Peng, J., Liu, W., & An, Q. (2014). A PSBM model for environmental efficiency evaluation and its application. Polish Journal of Environmental Studies, 23(3), 893–900.Stern, N. (2006). The economics of climate change: The stern review. Cambridge: Cambridge University Press.Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 111–147.Stone, G. W., & Wakefield, K. L. (2000). Eco-orientation: An extension of market orientation in an environmental context. Journal of Marketing Theory and Practice, 8(3), 21–31.Tenenhaus, M., Vinzi, V., Chatelin, J., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205.Tse, R. Y. (2001). The implementation of EMS in construction firms: Case study in Hong Kong. Journal of Environmental Assessment Policy and Management, 3(2), 177–194.Turner, R. K. (2006). Sustainability auditing and assessment challenges. Building Research and Information, 34(3), 197–200.Van Bueren, E., & De Jong, J. J. (2007). Establishing sustainability: Policy successes and failures. Building Research and Information, 35(5), 543–556.Vanasupa, L., Chen, K. C., & Slivovsky, L. (2006). Global challenges as inspiration: A classroom strategy to foster social responsibility. Science and Engineering Ethics, 12(2), 373–380.Vastag, G., Kerekes, S., & Rondinelli, D. A. (1996). Evaluation of corporate environmental management approaches: A framework and application. International Journal of Production Economics, 43(2–3), 193–211

Pan-cancer analysis of whole genomes

Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

Evidence for Top Quark Production in Nucleus-Nucleus Collisions

Peer reviewe

Observation of the B-s(0) -> X(3872)phi Decay

Using a data sample of proton-proton collisions at root s = 13 TeV, corresponding to an integrated luminosity of 140 fb(-1) collected by the CMS experiment in 2016-2018, the B-s(0) -> X(3872)phi decay is observed. Decays into J/psi pi(+)pi(-) and K+K- are used to reconstruct, respectively, the X(3872) and phi. The ratio of the product of branching fractions B[B-s(0) -> X(3872)phi]B[X(3872) -> J/psi pi(+)pi(-)] to the product B[B-s(0) ->psi(2S)phi]B[psi(2S) -> J/psi pi(+)pi(-)] is measured to be [2.21 +/- 0.29(stat) +/- 0.17(syst)]%. The ratio B[B-s(0) -> X(3872)phi]/B[B-0 -> X(3872)K-0] is found to be consistent with one, while the ratio B[B-s(0) -> X(3872)phi]/B[B+-> X(3872)K+] is two times smaller. This suggests a difference in the production dynamics of the X(3872) in B-0 and B(0)s meson decays compared to B+. The reported observation may shed new light on the nature of the X(3872) particle.Peer reviewe