Fil-lejl li kiber miegħi

Ġabra ta’ poeżiji u proża li tinkludi: Flus lura ta’ Charles Clews – Afrika ta’ Oliver Friggieri – 5 ta’ Ottubru 1798: Ir-rewwixta taż-Żabbarin kontra l-Franċiżi ta’ Achille Mizzi – Durham ta’ Joe Friggieri – Tifkiriet: Għand Majsi l-parrukkier ta’ Maurice Mifsud Bonnici – Jacqueline ta’ Carmel Azzopardi – Is-Sibt 29 ta’ Marzu 1986 ta’ Alfred Massa – Lill-għasfur ta’ Nikol Vella Apap – Nixtieq nibki ta’ John Caruana – Imbierka s-sapjenza ta’ Charles Clews – Par għajnejn fid-dlam ta’ Val. V. Barbara – Iż-żmien u l-bniedem ta’ Paul J. Debono – Dixx ta’ l-istejnles stil ta’ Paul P. Borg – Nota bene ta’ Sergio Grech – Ħitan ta’ Alfred Degabriele – Data base ta’ Philip Sciberras – Freddie Mercury – Ġieħ ta’ Charles Briffa – Ħolma ta’ Joe Bugeja – L-imsiebaħ firxu d-dwal ta’ Emanuel F. Attard – Żamma ta’ Manwel Cassar – Awtur tal-baħar ta’ Charles Bezzina – Nixxiegħa tal-kuxjent minn Triq Ħas-Sajjied Birkirkara ta’ Tarcisio Zarb – Ċfuf u żigarelli ta’ Ġorġ Borg – Taħt is-saffi tqal ta’ Ġorġ Borg – Fil-lejl li kiber miegħi ta’ Ġorġ Borg.peer-reviewe

Comparative and Functional Genomics of Rhodococcus opacus PD630 for Biofuels Development

The Actinomycetales bacteria Rhodococcus opacus PD630 and Rhodococcus jostii RHA1 bioconvert a diverse range of organic substrates through lipid biosynthesis into large quantities of energy-rich triacylglycerols (TAGs). To describe the genetic basis of the Rhodococcus oleaginous metabolism, we sequenced and performed comparative analysis of the 9.27 Mb R. opacus PD630 genome. Metabolic-reconstruction assigned 2017 enzymatic reactions to the 8632 R. opacus PD630 genes we identified. Of these, 261 genes were implicated in the R. opacus PD630 TAGs cycle by metabolic reconstruction and gene family analysis. Rhodococcus synthesizes uncommon straight-chain odd-carbon fatty acids in high abundance and stores them as TAGs. We have identified these to be pentadecanoic, heptadecanoic, and cis-heptadecenoic acids. To identify bioconversion pathways, we screened R. opacus PD630, R. jostii RHA1, Ralstonia eutropha H16, and C. glutamicum 13032 for growth on 190 compounds. The results of the catabolic screen, phylogenetic analysis of the TAGs cycle enzymes, and metabolic product characterizations were integrated into a working model of prokaryotic oleaginy.Cambridge-MIT InstituteMassachusetts Institute of Technology. (Seed Grant program)Shell Oil CompanyNational Institute of Allergy and Infectious Diseases (U.S.)United States. National Institutes of HealthNational Institutes of Health. Department of Health and Human Services (Contract No. HHSN272200900006C

DISC1 genetics, biology and psychiatric illness

Psychiatric disorders are highly heritable, and in many individuals likely arise from the combined effects of genes and the environment. A substantial body of evidence points towards DISC1 being one of the genes that influence risk of schizophrenia, bipolar disorder and depression, and functional studies of DISC1 consequently have the potential to reveal much about the pathways that lead to major mental illness. Here, we review the evidence that DISC1 influences disease risk through effects upon multiple critical pathways in the developing and adult brain

Assessing blinding in trials of psychiatric disorders: A meta-analysis based on blinding index

The assessment of blinding in RCTs is rarely performed. Currently most studies that do report data on evaluation of blinding merely report percentages of correct guessing, not taking into account correct guessing by chance. Blinding assessment using the blinding index (BI) has never been performed in a systematic review on studies of major psychiatric disorders. This study is a systematic review of psychiatric randomized control trials using the BI as a chance-corrected measurement of blinding, a tool to analyze and understand the patterns of blinding across studies of major psychiatric disorders with available data. Of 2467 psychiatric RCTs from 2000 to 2010, 66 reported on blinding and 40 studies were found to have enough information on evaluation of blinding to be analyzed using the BI. The experimental treatment groups had an average BI value of 0.14 and the control groups had an average BI value of 0.00. The most common BI scenario was random–random, indicating ideal blinding. A positive correlation between effect size and more correct guesses was also found. Overall, based on BI values and the most common blinding scenario, the published articles on major psychiatric disorders from 2000 to 2010, which reported on blinding assessment for patients, were effectively blinded