Effects of intraocular lens glistenings on visual function: A prospective study and presentation of a new glistenings grading methodology

Objective To investigate the effect of intraocular lens (IOL) glistenings on visual performance and evaluate a new glistenings grading methodology. Methods and Analysis Thirty-four patients (34 eyes) were recruited. Corrected distance visual acuity (CDVA), mesopic gap acuity (MGA), functional contrast sensitivity (FCS) and forward light scatter were measured (Advanced Vision and Optometric Tests, City Occupational, London, UK). The IOL centre was imaged and glistenings density graded by three observers using the Miyata scale and a new system. Inter-rater reliability, association between the two grading scales, and correlations between glistenings grades and visual performance parameters were evaluated. Results The intraclass correlation coefficient between graders for the new grading system was 0.769 (95% Confidence Interval [CI] 0.636 to 0.868). There was a significant association between the Miyata scale and the new grading system for all graders (r s =0.533-0.895, p≤0.001). There was no association between CDVA or MGA and glistenings grade (r s =- 0.098, p=0.583 and r s =0.171, p=0.359, respectively). There was no association between FCS at mesopic light levels and glistenings grade (r s =-0.032, p=0.864), or the straylight parameter and glistenings grade (r s =0.021, p=0.916). No association was found between the integrated straylight parameter and glistenings grade (r s =0.078, p=0.701). Conclusion The new glistenings grading scale was highly reproducible. In this cohort, glistenings in the same hydrophobic acrylic IOL after cataract surgery were not associated with changes in visual function, as assessed by a series of tests not previously used in glistenings research

Processing The Interspecies Quorum-Sensing Signal Autoinducer-2 (AI-2) Characterization Of Phospho-(S)-4,5-Dihydroxy-2,3-Pentanedione Isomerization By LsrG Protein

The molecule (S)-4,5-dihydroxy-2,3-pentanedione (DPD) is produced by many different species of bacteria and is the precursor of the signal molecule autoinducer-2 (AI-2). AI-2 mediates interspecies communication and facilitates regulation of bacterial behaviors such as biofilm formation and virulence. A variety of bacterial species have the ability to sequester and process the AI-2 present in their environment, thereby interfering with the cell-cell communication of other bacteria. This process involves the AI-2-regulated lsr operon, comprised of the Lsr transport system that facilitates uptake of the signal, a kinase that phosphorylates the signal to phospho-DPD (P-DPD), and enzymes (like LsrG) that are responsible for processing the phosphorylated signal. Because P-DPD is the intracellular inducer of the lsr operon, enzymes involved in P-DPD processing impact the levels of Lsr expression. Here we show that LsrG catalyzes isomerization of P-DPD into 3,4,4-trihydroxy-2-pentanone-5-phosphate. We present the crystal structure of LsrG, identify potential catalytic residues, and determine which of these residues affects P-DPD processing in vivo and in vitro. We also show that an lsrG deletion mutant accumulates at least 10 times more P-DPD than wild type cells. Consistent with this result, we find that the lsrG mutant has increased expression of the lsr operon and an altered profile of AI-2 accumulation and removal. Understanding of the biochemical mechanisms employed by bacteria to quench signaling of other species can be of great utility in the development of therapies to control bacterial behavior

Space Station Engineering Design Issues

Space Station Freedom topics addressed include: general design issues; issues related to utilization and operations; issues related to systems requirements and design; and management issues relevant to design

U.S. GLOBAL CHANGE RESEARCH PROGRAM CLIMATE SCIENCE SPECIAL REPORT (CSSR)

Fifth-Order Draft Table of Contents Front Matter About This Report........................................................................................ 1 Guide to the Report......................................................................................4 Executive Summary ................................................................................... 12 Chapters 1. Our Globally Changing Climate .......................................................... 38 2. Physical Drivers of Climate Change ................................................... 98 3. Detection and Attribution of Climate Change .................................... 160 4. Climate Models, Scenarios, and Projections .................................... 186 5. Large-Scale Circulation and Climate Variability ................................ 228 6. Temperature Changes in the United States ...................................... 267 7. Precipitation Change in the United States ......................................... 301 8. Droughts, Floods, and Hydrology ......................................................... 336 9. Extreme Storms ....................................................................................... 375 10. Changes in Land Cover and Terrestrial Biogeochemistry ............ 405 11. Arctic Changes and their Effects on Alaska and the Rest of the United States..... 443 12. Sea Level Rise ....................................................................................... 493 13. Ocean Acidification and Other Ocean Changes .............................. 540 14. Perspectives on Climate Change Mitigation .................................... 584 15. Potential Surprises: Compound Extremes and Tipping Elements .......... 608 Appendices A. Observational Datasets Used in Climate Studies ............................. 636 B. Weighting Strategy for the Fourth National Climate Assessment ................ 642 C. Detection and Attribution Methodologies Overview ............................ 652 D. Acronyms and Units ................................................................................. 664 E. Glossary ...................................................................................................... 66

U.S. GLOBAL CHANGE RESEARCH PROGRAM CLIMATE SCIENCE SPECIAL REPORT (CSSR)

Fifth-Order Draft Table of Contents Front Matter About This Report........................................................................................ 1 Guide to the Report......................................................................................4 Executive Summary ................................................................................... 12 Chapters 1. Our Globally Changing Climate .......................................................... 38 2. Physical Drivers of Climate Change ................................................... 98 3. Detection and Attribution of Climate Change .................................... 160 4. Climate Models, Scenarios, and Projections .................................... 186 5. Large-Scale Circulation and Climate Variability ................................ 228 6. Temperature Changes in the United States ...................................... 267 7. Precipitation Change in the United States ......................................... 301 8. Droughts, Floods, and Hydrology ......................................................... 336 9. Extreme Storms ....................................................................................... 375 10. Changes in Land Cover and Terrestrial Biogeochemistry ............ 405 11. Arctic Changes and their Effects on Alaska and the Rest of the United States..... 443 12. Sea Level Rise ....................................................................................... 493 13. Ocean Acidification and Other Ocean Changes .............................. 540 14. Perspectives on Climate Change Mitigation .................................... 584 15. Potential Surprises: Compound Extremes and Tipping Elements .......... 608 Appendices A. Observational Datasets Used in Climate Studies ............................. 636 B. Weighting Strategy for the Fourth National Climate Assessment ................ 642 C. Detection and Attribution Methodologies Overview ............................ 652 D. Acronyms and Units ................................................................................. 664 E. Glossary ...................................................................................................... 66

Marginalization of end-use technologies in energy innovation for climate protection

Mitigating climate change requires directed innovation efforts to develop and deploy energy technologies. Innovation activities are directed towards the outcome of climate protection by public institutions, policies and resources that in turn shape market behaviour. We analyse diverse indicators of activity throughout the innovation system to assess these efforts. We find efficient end-use technologies contribute large potential emission reductions and provide higher social returns on investment than energy-supply technologies. Yet public institutions, policies and financial resources pervasively privilege energy-supply technologies. Directed innovation efforts are strikingly misaligned with the needs of an emissions-constrained world. Significantly greater effort is needed to develop the full potential of efficient end-use technologies

Ecological implications of a flower size/number trade-off in tropical forest trees

Peer reviewedPublisher PD

Ficus longistipulata

Ficus longistipulata is endemic to Sabah, Malaysia. It is only known from Danum Valley, Lahad Datu. The estimated area of occupancy (AOO) and extent of occurrence (EOO) are both 4 km2. The species does not experience continuing decline as it is in a well protected area. The most plausible threat that can affect the population of this species is climate change. If this was to occur it could drastically change the conservation status of this species towards Critically Endangered or Extinct. This species is assessed as Vulnerable. Ficus longistipulata is endemic to Sabah, Malaysia. It is only known from Danum Valley, Lahad Datu

Solar forcing for CMIP6 (v3.2)

This paper describes the recommended solar forcing dataset for CMIP6 and highlights changes with respect to CMIP5. The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index as well as particle forcing, including geomagnetic indices Ap and Kp, and ionization rates to account for effects of solar protons, electrons, and galactic cosmic rays. This is the first time that a recommendation for solar-driven particle forcing has been provided for a CMIP exercise. The solar forcing datasets are provided at daily and monthly resolution separately for the CMIP6 preindustrial control, historical (1850–2014), and future (2015–2300) simulations. For the preindustrial control simulation, both constant and time-varying solar forcing components are provided, with the latter including variability on 11-year and shorter timescales but no long-term changes. For the future, we provide a realistic scenario of what solar behavior could be, as well as an additional extreme Maunder-minimum-like sensitivity scenario. This paper describes the forcing datasets and also provides detailed recommendations as to their implementation in current climate models. For the historical simulations, the TSI and SSI time series are defined as the average of two solar irradiance models that are adapted to CMIP6 needs: an empirical one (NRLTSI2–NRLSSI2) and a semi-empirical one (SATIRE). A new and lower TSI value is recommended: the contemporary solar-cycle average is now 1361.0 W m−2. The slight negative trend in TSI over the three most recent solar cycles in the CMIP6 dataset leads to only a small global radiative forcing of −0.04 W m−2. In the 200–400 nm wavelength range, which is important for ozone photochemistry, the CMIP6 solar forcing dataset shows a larger solar-cycle variability contribution to TSI than in CMIP5 (50 % compared to 35 %). We compare the climatic effects of the CMIP6 solar forcing dataset to its CMIP5 predecessor by using time-slice experiments of two chemistry–climate models and a reference radiative transfer model. The differences in the long-term mean SSI in the CMIP6 dataset, compared to CMIP5, impact on climatological stratospheric conditions (lower shortwave heating rates of −0.35 K day−1 at the stratopause), cooler stratospheric temperatures (−1.5 K in the upper stratosphere), lower ozone abundances in the lower stratosphere (−3 %), and higher ozone abundances (+1.5 % in the upper stratosphere and lower mesosphere). Between the maximum and minimum phases of the 11-year solar cycle, there is an increase in shortwave heating rates (+0.2 K day−1 at the stratopause), temperatures ( ∼  1 K at the stratopause), and ozone (+2.5 % in the upper stratosphere) in the tropical upper stratosphere using the CMIP6 forcing dataset. This solar-cycle response is slightly larger, but not statistically significantly different from that for the CMIP5 forcing dataset. CMIP6 models with a well-resolved shortwave radiation scheme are encouraged to prescribe SSI changes and include solar-induced stratospheric ozone variations, in order to better represent solar climate variability compared to models that only prescribe TSI and/or exclude the solar-ozone response. We show that monthly-mean solar-induced ozone variations are implicitly included in the SPARC/CCMI CMIP6 Ozone Database for historical simulations, which is derived from transient chemistry–climate model simulations and has been developed for climate models that do not calculate ozone interactively. CMIP6 models without chemistry that perform a preindustrial control simulation with time-varying solar forcing will need to use a modified version of the SPARC/CCMI Ozone Database that includes solar variability. CMIP6 models with interactive chemistry are also encouraged to use the particle forcing datasets, which will allow the potential long-term effects of particles to be addressed for the first time. The consideration of particle forcing has been shown to significantly improve the representation of reactive nitrogen and ozone variability in the polar middle atmosphere, eventually resulting in further improvements in the representation of solar climate variability in global models